View allAll Photos Tagged NodeXL

Twitter users who mentioned "Social CRM" on April 6, 2010 scaled by number of followers.

NodeXL is available from www.codeplex.com/nodexl

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

This is my Facebook 1.5 degree network as extracted by: mysocnet.oii.ox.ac.uk/fb/guess_old.php and fed to NodeXL: nodexl.codeplex.com/ using the Fruchterman Reingold layout.

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

From: www.connectedaction.net

 

Connections among the Twitter users who recently mentioned sxsw when queried on March 12, 2011 scaled by numbers of followers.

 

A larger version (zoom for details) is available here: www.flickr.com/photos/marc_smith/5521097041/sizes/o/.

 

Top most between:

@mashable, @sxsw, @scobleizer, @zeldman, @davemcclure, @thr, @gowalla, @frogdesign, @msuster, @elysa

 

Detailed listings are available here:www.flickr.com/photos/marc_smith/5521097065/

 

NodeXL is available from www.codeplex.com/nodexl

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

From: www.connectedaction.net

 

Connections among the Twitter users who recently mentioned wikileaks when queried on December 10, 2010 scaled by numbers of followers.

 

NodeXL is available from www.codeplex.com/nodexl

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

nodexlgraphgallery.org/Pages/Graph.aspx?graphID=5075

 

The graph represents a network of 947 Twitter users whose recent tweets contained "#dataviz", taken from a data set limited to a maximum of 1,500 users. The network was obtained on Sunday, 02 June 2013 at 15:16 UTC. There is an edge for each follows relationship. There is an edge for each "replies-to" relationship in a tweet. There is an edge for each "mentions" relationship in a tweet. There is a self-loop edge for each tweet that is not a "replies-to" or "mentions". The tweets were made over the 7-day, 2-hour, 0-minute period from Sunday, 26 May 2013 at 13:00 UTC to Sunday, 02 June 2013 at 15:01 UTC.

 

The graph is directed.

 

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

 

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

 

The edge colors are based on relationship values. The edge widths are based on edge weight values. The edge opacities are based on edge weight values. The vertex sizes are based on followers values. The vertex opacities are based on followers values.

 

Overall Graph Metrics:

Vertices: 947

Unique Edges: 8258

Edges With Duplicates: 1254

Total Edges: 9512

Self-Loops: 1005

Reciprocated Vertex Pair Ratio: 0.338230439088808

Reciprocated Edge Ratio: 0.505489083508079

Connected Components: 50

Single-Vertex Connected Components: 46

Maximum Vertices in a Connected Component: 894

Maximum Edges in a Connected Component: 9438

Maximum Geodesic Distance (Diameter): 7

Average Geodesic Distance: 3.033881

Graph Density: 0.00904938483828983

Modularity: 0.359929

NodeXL Version: 1.0.1.234

 

Top 10 Vertices, Ranked by Betweenness Centrality:

albertocairo

EdwardTufte

ddjournalism

visualisingdata

VisualizingOrg

tableau

NicolasLoubet

KarenBastienOK

SocialMedia411

noahi

 

Top URLs in Tweet in Entire Graph:

www.flickr.com/photos/twitteroffice/sets/72157633647745984/

datadrivenjournalism.net/featured_projects/Behind_the_Aus...

blog.revolutionanalytics.com/2013/05/the-arteries-of-the-...

guides.library.duke.edu/content_mobile.php?pid=355157&amp...

tweetedtimes.com/#!/search/dataviz,%20datavisualization/en

tweetedtimes.com/#!/search/data%20visualisation/en

hereistoday.com/

www.bbc.co.uk/news/in-pictures-22657086

www.ipsos-mori.com/researchpublications/publications/1562...

www.facebook.com/AllAnalytics/app_196506863720166

 

Top URLs in Tweet in G1:

datadrivenjournalism.net/featured_projects/Behind_the_Aus...

gs10.globalsuccessor.com/fe/tpl_GuardianNews01.asp?newms=...;

www.tumblr.com/Z72CSym1qI8O

postgraphics.tumblr.com/post/51818823313/behind-the-scene...

visualizing.org/contests/visualizing-meteorites

www.businessinsider.com/best-maps-from-maps-on-the-web-tu...

datadrivenjournalism.net/resources/a_super_simple_tool_to...

bit.ly/ZkLaVm

thepoliticsofsystems.net/2013/05/playing-with-the-new-yor...

www.densitydesign.org/2013/05/alberto-cairo-designers-rea...

 

Top URLs in Tweet in G2:

blog.revolutionanalytics.com/2013/05/the-arteries-of-the-...

tweetedtimes.com/#!/search/dataviz,%20datavisualization/en

tweetedtimes.com/#!/search/data%20visualisation/en

www.facebook.com/AllAnalytics/app_196506863720166

www.sas.com/apps/sim/redirect.jsp?detail=TR17756

www.bbc.co.uk/news/in-pictures-22657086

beeha.us/blog/facebook-graph-visualization-bmw-usa/

blog.revolutionanalytics.com/2013/05/nyt-uses-r-to-invest...

www.inc.com/john-brandon/8-new-tech-companies-to-watch.html

gigaom.com/2013/05/14/were-witnessing-the-rise-of-the-gra...

 

Top URLs in Tweet in G3:

www.flickr.com/photos/twitteroffice/sets/72157633647745984/

guides.library.duke.edu/content_mobile.php?pid=355157&amp...

www.buzzfeed.com/donnad/if-game-of-thrones-was-a-subway-map

www.lemonde.fr/proche-orient/article/2013/05/30/ce-que-re...

review.wizehive.com/voting/view/dja2013/14510/1244458/0

www.niemanlab.org/2013/05/how-does-quartz-create-visualiz...

www.coronaperspectives.com/

plus.google.com/103461709570992943324/posts/6L5BijDvDU2

infoamazonia.org/2012/10/terra-peru-aims-for-zero-defores...

api.dmcloud.net/player/pubpage/4e7343f894a6f677b10006b4/5...

 

Top URLs in Tweet in G4:

www.lifeafterearthscience.com/

deliver.jsi.com/dhome/rdr?p_url=/dlvr_content/resources/a...

worldbank.tumblr.com/day/2013/04/24/

philadelphia.craigslist.org/sof/3838831950.html

www.iea.org/etp/tracking/

worldbank.tumblr.com

forumone.com/events/detail/when-data-everywhere-where-do-...

www.channel4.com/news/syria-files-interactive-rebels-weap...

datadrivenjournalism.net/news_and_analysis/Al_Jazeera_EJC...

inmaps.linkedinlabs.com/share/Bruce_Haupt/759718896405284...

 

Top URLs in Tweet in G5:

www.bolid.es/

www.negawatt.org/scenario/

qz.com/89019/29-of-the-worlds-largest-bike-sharing-progra...

vimeo.com/51365288

www.nytimes.com/interactive/2013/05/25/sunday-review/corp...

www.nytimes.com/glogin?URI=http://www.nytimes.com/interac...(Q51yQ24dc_y(Q23Q24Q25Q2BmX4Q25mrQ25Q2BrQ25@sQ51Q60cQ22NdQ24Q23(Q24Q26Q25_7dR7dcyQ24Nyc6Q24@UxyjF

www.nytimes.com/glogin?URI=http://www.nytimes.com/interac...(r.-RRR-g.5Q2B-aTzpQ2FTT.1-l(.HQ2FQ7Ez.lQ60H-1IQ25Y-IW-1A-poTQ2F.p-.H((lp-(Q7EaQ7EQ2BpQ27V(HHwg.5Q2B

worldbank.tumblr.com/day/2013/05/14/

www.datapointed.net/visualizations/population/world/seven...

theberad.files.wordpress.com/2010/12/avisualhistorycopy.jpg

 

Top URLs in Tweet in G6:

hereistoday.com/

www.ipsos-mori.com/researchpublications/publications/1562...

qz.com/89019/29-of-the-worlds-largest-bike-sharing-progra...

www.eventbrite.com/event/6620954453/#

www.nytimes.com/glogin?URI=http://www.nytimes.com/interac...)qUAYUQ7EEUQ3E_LQ3A1_Q3AUapQ601O9apLHL1n9Q7EA))NQ5EQ7CQ23o

fontsinuse.com/uses/3997/2013-tesla-model-s-dashboard-dis...

www.dailymail.co.uk/sciencetech/article-2329443/The-incre...

www.informationisbeautifulawards.com/2013/05/fish-free/

plus.google.com/117821825929676420234/posts/RRCiEZFzFcd

svs.gsfc.nasa.gov/vis/a000000/a003800/a003827/Perpetual_O...

 

Top URLs in Tweet in G7:

hacknight.in/fifthelephant/2013-visualization#/participants

www.youtube.com/watch?v=AdSZJzb-aX8&feature=youtu.be

blogs.technet.com/b/inside_microsoft_research/archive/201...

postgraphics.tumblr.com/post/51818823313/behind-the-scene...

www.computerworld.in/feature/rise-dataviz-expert-105762013

visualizing.org/contests/visualizing-meteorites

www.thefunctionalart.com/2013/05/visualizations-mythmakin...

www.nytimes.com/2013/05/20/arts/design/pleasurable-design...

vimeo.com/66085662

 

Top URLs in Tweet in G8:

www.allanalytics.com/author.asp?section_id=1411&doc_i...

www.icharts.net/blogs/2013/spotlight-interview-communicat...

vimeo.com/51365288

investors.tableausoftware.com/overview/default.aspx

www.treesheets.org/

cwrld.us/1abcXJE

 

Top URLs in Tweet in G9:

www.theverge.com/2013/6/1/4386496/twitter-turns-geotagged...

complexdiagrams.com/properties

hint.fm/wind/

shapeofdata.wordpress.com

visualizing.org/visualizations/doctor-who-episodes-1963-2013

www.allanalytics.com/author.asp?section_id=1411&doc_i...;

www.hackforchangemiami.org/schedule.html

www14.software.ibm.com/webapp/iwm/web/signup.do?source=sw...

 

Top URLs in Tweet in G10:

source.mozillaopennews.org/en-US/learning/design-principl...

visualoop.com/8629/the-world-map-according-to-twitter

www.nytimes.com/interactive/2013/05/25/sunday-review/corp...

blog.revolutionanalytics.com/2013/05/the-arteries-of-the-...

www-304.ibm.com/connections/blogs/predictiveanalytics/ent...

www.nytimes.com/glogin?URI=http://www.nytimes.com/2013/05...

trackimpact.com/post/51037726182/step-1-to-building-a-sto...

 

Top Domains in Tweet in Entire Graph:

sas.com

datadrivenjournalism.net

nytimes.com

tumblr.com

co.uk

flickr.com

revolutionanalytics.com

tweetedtimes.com

visualizing.org

vimeo.com

 

Top Domains in Tweet in G1:

datadrivenjournalism.net

nytimes.com

tumblr.com

visualizing.org

co.uk

dimplejs.org

globalsuccessor.com

sharedby.co

gob.ar

thefunctionalart.com

 

Top Domains in Tweet in G2:

sas.com

tweetedtimes.com

revolutionanalytics.com

co.uk

linkedin.com

dashboardinsight.com

allanalytics.com

facebook.com

dundas.com

youtube.com

 

Top Domains in Tweet in G3:

flickr.com

duke.edu

buzzfeed.com

lemonde.fr

google.com

wizehive.com

niemanlab.org

vimeo.com

coronaperspectives.com

aecom.org

 

Top Domains in Tweet in G4:

tumblr.com

lifeafterearthscience.com

jsi.com

craigslist.org

datadrivenjournalism.net

iea.org

co.uk

aecom.org

forumone.com

channel4.com

 

Top Domains in Tweet in G5:

visual.ly

nytimes.com

tumblr.com

bolid.es

negawatt.org

qz.com

vimeo.com

flickr.com

datapointed.net

wordpress.com

 

Top Domains in Tweet in G6:

hereistoday.com

ipsos-mori.com

co.uk

qz.com

eventbrite.com

nytimes.com

fontsinuse.com

informationisbeautifulawards.com

google.com

nasa.gov

 

Top Domains in Tweet in G7:

hacknight.in

youtube.com

technet.com

tumblr.com

computerworld.in

visualizing.org

thefunctionalart.com

nytimes.com

vimeo.com

 

Top Domains in Tweet in G8:

allanalytics.com

icharts.net

vimeo.com

tableausoftware.com

treesheets.org

cwrld.us

 

Top Domains in Tweet in G9:

theverge.com

complexdiagrams.com

hint.fm

wordpress.com

visualizing.org

allanalytics.com

hackforchangemiami.org

ibm.com

 

Top Domains in Tweet in G10:

mozillaopennews.org

nytimes.com

visualoop.com

revolutionanalytics.com

ibm.com

trackimpact.com

 

Top Hashtags in Tweet in Entire Graph:

dataviz

ddj

bigdata

infographics

data

visualization

infographic

sas

opendata

analytics

 

Top Hashtags in Tweet in G1:

dataviz

ddj

infographics

bigdata

govhack

opendata

data

maps

d3js

visualization

 

Top Hashtags in Tweet in G2:

dataviz

bigdata

sas

visualization

analytics

data

infographic

rstats

facebook

datascience

 

Top Hashtags in Tweet in G3:

dataviz

ddj

socialmedia

bigdata

opendata

football

gameofthrones

outils

tools

design

 

Top Hashtags in Tweet in G4:

dataviz

infographic

willsmith

anthropocene

opendata

wd2013

ghmatters

ddj

ict4d

opengov

 

Top Hashtags in Tweet in G5:

dataviz

graphicdesign

infographic

bigdata

opendata

tngov

tunisie

dnte

joydivision

petersaville

 

Top Hashtags in Tweet in G6:

dataviz

mrx

wtmonitor

localgov

casro

bikesharing

nptech

boston

data

opendata

 

Top Hashtags in Tweet in G7:

dataviz

visualization

bangalore

d3js

r

art

infographics

rhok

ddj

ux

 

Top Hashtags in Tweet in G8:

dataviz

auxc13

infographic

ux

pastina

napoleone

campagnadirussia

javascript

lib

day

 

Top Hashtags in Tweet in G9:

dataviz

bigdata

socialmedia

hackforchange

data

stats

infographics

ddj

 

Top Hashtags in Tweet in G10:

dataviz

hackforchange

twitter

maps

detroit

taxes

rstats

immigration

dataanimation

ibm

 

Top Words in Tweet in Entire Graph:

dataviz

rt

data

via

de

visualization

ddj

bigdata

amp

infographics

 

Top Words in Tweet in G1:

dataviz

rt

ddj

data

infographics

via

albertocairo

bigdata

gt

new

 

Top Words in Tweet in G2:

dataviz

rt

data

visualization

analytics

sas

via

bigdata

amp

infographic

 

Top Words in Tweet in G3:

dataviz

rt

de

le

des

la

en

et

par

du

 

Top Words in Tweet in G4:

dataviz

rt

amp

infographic

amazing

philly

website

new

willsmith

film

 

Top Words in Tweet in G5:

dataviz

rt

via

data

visually

visualization

infographic

map

one

visualized

 

Top Words in Tweet in G6:

dataviz

rt

mrx

see

interactive

amp

wtmonitor

life

universe

everything

 

Top Words in Tweet in G7:

dataviz

rt

data

visualization

art

amp

30

nerds

register

hasgeek's

 

Top Words in Tweet in G8:

dataviz

auxc13

toccaceliblasi

rt

e

data

talk

svela

segreti

della

 

Top Words in Tweet in G9:

dataviz

noahi

bigdata

rt

data

great

ex

number

via

anitaycheng

 

Top Words in Tweet in G10:

dataviz

rt

hackforchange

migrahack

interactive

jmm

hey

spec

ers

design

 

Top Word Pairs in Tweet in Entire Graph:

data,visualization

dataviz,infographics

rt,albertocairo

great,dataviz

dataviz,via

bigdata,dataviz

ddj,dataviz

geotagged,tweets

ddj,bigdata

dataviz,bigdata

 

Top Word Pairs in Tweet in G1:

dataviz,infographics

rt,albertocairo

ddj,dataviz

bigdata,dataviz

nytgraphics,dataviz

data,visualization

simple,deep

deep,clear

clear,beautiful

beautiful,nytgraphics

 

Top Word Pairs in Tweet in G2:

data,visualization

visual,analytics

dataviz,sas

geotagged,tweets

rt,revodavid

sas,visual

dataviz,bigdata

big,data

dataviz,news

great,dataviz

 

Top Word Pairs in Tweet in G3:

data,visualization

la,dataviz

par,département

département,dataviz

de,tweets

du,monde

dataviz,socialmedia

poussif,démarrage

démarrage,des

des,emplois

 

Top Word Pairs in Tweet in G4:

amazing,website

website,new

new,willsmith

willsmith,film

film,afterearth

afterearth,features

features,anthropocene

anthropocene,dataviz

owengaffney,amazing

infographic,contraceptives

 

Top Word Pairs in Tweet in G5:

via,visually

visually,dataviz

data,visualization

social,media

rt,tnchiffres

tnchiffres,tngov

tngov,rt

rt,aminkh

aminkh,tunisie

tunisie,dataviz

 

Top Word Pairs in Tweet in G6:

life,universe

universe,everything

everything,visualised

visualised,one

one,colourful

colourful,interactive

interactive,bar

bar,dataviz

wtmonitor,dataviz

rt,dataeverywhere

 

Top Word Pairs in Tweet in G7:

data,visualization

dataviz,nerds

nerds,register

register,hasgeek's

hasgeek's,data

visualization,hacknight

hacknight,29

29,amp

amp,30

30,jun

 

Top Word Pairs in Tweet in G8:

toccaceliblasi,auxc13

toccaceliblasi,svela

svela,segreti

segreti,della

della,dataviz

dataviz,bel

bel,talk

talk,umanizzare

umanizzare,dati

dati,dando

 

Top Word Pairs in Tweet in G9:

noahi,bigdata

great,dataviz

dataviz,ex

ex,number

rt,anitaycheng

dataviz,noahi

bigdata,noahi

dataviz,bigdata

bigdata,dataviz

noahi,dataviz

 

Top Word Pairs in Tweet in G10:

interactive,dataviz

rt,jmm

jmm,hey

hey,hackforchange

hackforchange,spec

spec,migrahack

migrahack,ers

ers,design

design,principles

principles,applied

 

Top Replied-To in Entire Graph:

toccaceliblasi

beehaus

albertocairo

twombh

jenstirrup

kristw

migrahack

macala

parstream

google

 

Top Replied-To in G1:

albertocairo

pciuccarelli

makerfairerome

ispeakanalytics

flowingdata

junkcharts

eojnairb

governordeal

edwrdlee

evalu8r

 

Top Replied-To in G2:

beehaus

kristw

jenstirrup

mhausenblas

macala

tableau

policyviz

google

parstream

nytimes

 

Top Replied-To in G3:

anthonymasure

jbmacluckie

jeanabbiateci

ireneros

schesnel

userstudio

ioudg

ulfisch

karinevigu

johanhufnagel

 

Top Replied-To in G4:

g33kmate

jessicacolaco

 

Top Replied-To in G5:

twombh

alphatative

c4_spacewizard

 

Top Replied-To in G6:

wteducation

scheufele

 

Top Replied-To in G7:

seesharp

 

Top Replied-To in G8:

toccaceliblasi

 

Top Replied-To in G10:

migrahack

 

Top Mentioned in Entire Graph:

albertocairo

noahi

nytgraphics

revodavid

ddjournalism

visualizingorg

miguelrios

toccaceliblasi

allanalytics

densitydesign

 

Top Mentioned in G1:

albertocairo

nytgraphics

ddjournalism

visualizingorg

densitydesign

flinklabs

pciuccarelli

gabrieldance

fcage

dashingd3js

 

Top Mentioned in G2:

revodavid

allanalytics

miguelrios

tableau

bi_dashboards

kirkdborne

sasuk_vanalytic

dundasdata

bmwusa

nytgraphics

 

Top Mentioned in G3:

pomme_

http

askmedia_

samuellaurent

llllitl

matamix

alirebaie

julesbonnard

cyceron

mvaudano

 

Top Mentioned in G4:

afterearth

deliverproject

worldbank

ejcnet

iea

tumblr

owengaffney

amanda_levinson

vgalaz

syrianews

 

Top Mentioned in G5:

visually

worldbank

tnchiffres

aminkh

littleark

thierrysalomon

nwassociation

tck_design

ripetungi

rivefuentes

 

Top Mentioned in G6:

dataeverywhere

imdatafizz

ipsosmori

qz

yan0

deborah909

mapcmetroboston

bostonfdn

ocsi_uk

albertocairo

 

Top Mentioned in G7:

hasgeek

rasagy

merhl

albertocairo

rhok_bang

postgraphics

visualizingorg

kenneth

hursman

mattsugihara

 

Top Mentioned in G8:

toccaceliblasi

lallodola

debora_botta

allanalytics

nbrgraphs

densitydesign

mikymartin

tableau

rich1

georgevhulme

 

Top Mentioned in G9:

noahi

anitaycheng

verge

moebio

dschweidel

albertocairo

kalanicraig

nytgraphics

visualizingorg

ib5k

 

Top Mentioned in G10:

jmm

migrahack

miguelrios

kat_a_hartman

visualoop

alliedmediaconf

rivefuentes

rijking

revodavid

manyeyes

 

Top Tweeters in Entire Graph:

GovernmentDroid

memberposts

breizh2008

lactualaloupe

digitalmaverick

datachick

georgevhulme

Daoudmsund

ageekmom

theArcher77

 

Top Tweeters in G1:

JojoMalig

DeLuCa

Skoknic

perugini

abad

TSSVeloso

AnonyNewsNet

NoticiasPRO

Darlington_Dick

tomasdev

 

Top Tweeters in G2:

datachick

data_nerd

DCarsonCPA_NYC

PageViral

SocialMediaroid

nopiedra

estherschindler

juliebhunt

Computerworld

furukama

 

Top Tweeters in G3:

breizh2008

lactualaloupe

jujusete

PierreBRT

CharlesCHT

samuellaurent

Romain_Pigenel

MlleFunambuline

Fr_ugo

SoLoMoSL

 

Top Tweeters in G4:

GovernmentDroid

theArcher77

kaskadia

Liberationtech

MagdaAbuFadil

fustat

kmcurry

cartogeek

g33kmate

joellehatem

 

Top Tweeters in G5:

memberposts

guenotmichel

Mounej

Tweetskenya

Design_RT_Robot

Gigi_deGaray

t_pk

sergei_cl

minkiu

finalcontext

 

Top Tweeters in G6:

digitalmaverick

ageekmom

DCarsonCPA_MA

6loss

liversedge

SimonMAtkinson

benatipsosmori

SpaceKate

Skinner_M

kelly_plusnet

 

Top Tweeters in G7:

jackerhack

rasagy

fnicollet

DaveHogue

IdeaKitchn

zainabbawa

merhl

Valentina9

v1pl

phoenixwizard

 

Top Tweeters in G8:

georgevhulme

tigella

iamneethish

rich1

citrixgurl

acanal

tomstardust

lallodola

carl0s_

yoghi

 

Top Tweeters in G9:

themba

needalibraryjob

drkassorla

darlingbec

dcbphd

prerakp09

anitaycheng

virginiahyer

lisabsteward

nafpaktitism

 

Top Tweeters in G10:

kmontenegro

shawncarrie

richdullaghan

yvonnegraphy

thschilling

ohnehin

ijjnews

adriana9diaz

nunezcla

buildCibola

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6871711979/sizes/l/

 

These are the connections among the Twitter users who recently tweeted the word socbiz when queried on February 8, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 2/9/2012 6:03 to 2/12/2012 11:59 UTC. Green lines are "follows" relationships, blue lines are "reply" or "mentions" relationships.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6871711979/sizes/l/

 

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

Top most between users:

@dhinchcliffe

@igotan

@sandy_carter

@britopian

@rwang0

@rawn

@itsinsider

@glengilmore

@geoff_deweaver

@cmswire

 

These are the top word pairs by frequency in the network's tweets:

@socbiz, day, 299

social, business, 205

brand, leverage, 96

referencing, multiple, 96

multiple, brands, 96

ads, convince, 96

convince, consumers, 96

enterprise, architecture, 84

smaller, scale, 84

scale, #socbiz, 84

day, brand, 82

day, collaboration, 80

enterprise, social, 76

social, media, 75

organizations, need, 62

#socbiz, #advertising, 60

hollow, shells, 55

shells, without, 55

without, democracy, 55

democracy, #socbiz, 53

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

This graph contains all Twitter users who sent tweets that contained the hashtag #tcamp12 from April 28 to May 1, 2012. In this graph there are 367 nodes (“Twitter users”) with 1107 unique edges (“mentions”). The graph is laid out using the Fruchterman-Reingold algorithm. Twitter users are grouped by color automagically by the Clauset-Newman-Moore clustering algorithm. Twitter users are sized by betweenness centrality.

 

Top ten users ranked by betweenness of centrality:

 

tcampdc23502.981

sunfoundation 16236.783

craigfifer15258.757

tsagov14022.989

citizentools13420.000

elle_mccann12504.825

digiphile11569.597

_anna_shaw10835.748

javaun8020.142

joelogon7213.984

 

For comparison the average betweenness centrality is 834.807

 

Overall graph metrics:

Vertices367

Unique Edges1107

Self-Loops164

 

Maximum Geodesic Distance (Diameter)8

Average Geodesic Distance3.540974

Graph Density0.007020443

Modularity0.447527

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6351818421/sizes/l/in/ph...

 

These are the connections among the Twitter users who recently tweeted the word occupywallstreet when queried on November 15, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. Relies and mentions edges are highlighted in blue, follows connections are grey. The data set starts on 11/15/2011 23:08 and ends on 11/15/2011 23:34 UTC, a total of 26 minutes of traffic.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6351818421/sizes/l/in/ph...

 

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

Top most between users:

@occupywallst

@mmflint

@nyclu

@allisonkilkenny

@andrewbreitbart

@operationleaks

@occupydenver

@theatlantic

@usgeneralstrike

@rt_com

 

Graph Metric: Value

Graph Type: Directed

Vertices: 1000

Unique Edges: 3546

Edges With Duplicates: 826

Total Edges: 4372

Self-Loops: 794

Connected Components: 241

Single-Vertex Connected Components: 230

Maximum Vertices in a Connected Component: 747

Maximum Edges in a Connected Component: 3998

Maximum Geodesic Distance (Diameter): 7

Average Geodesic Distance: 2.65438

Graph Density: 0.003246246

NodeXL Version: 1.0.1.194

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

Donations to support NodeXL are welcome through our new donation link on PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

The graph represents a network of up to 1000 Twitter users whose recent tweets contained "hadoop". The network was obtained on Monday, 26 March 2012 at 22:31 UTC. There is an edge for each follows relationship. There is an edge for each "replies-to" relationship in a tweet. There is an edge for each "mentions" relationship in a tweet. There is a self-loop edge for each tweet that is not a "replies-to" or "mentions". The earliest tweet in the network was tweeted on Friday, 23 March 2012 at 18:55 UTC. The latest tweet in the network was tweeted on Monday, 26 March 2012 at 19:46 UTC.

 

The graph is directed.

 

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

 

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

 

The edge colors are based on relationship values. The vertex sizes are based on followers values.

 

Overall Graph Metrics:

Vertices: 1000

Unique Edges: 6078

Edges With Duplicates: 1006

Total Edges: 7084

Self-Loops: 886

Connected Components: 237

Single-Vertex Connected Components: 223

Maximum Vertices in a Connected Component: 747

Maximum Edges in a Connected Component: 6752

Maximum Geodesic Distance (Diameter): 9

Average Geodesic Distance: 3.249811

Graph Density: 0.00584284284284284

Modularity: 0.380253

 

Top 10 Vertices, Ranked by Betweenness Centrality:

@cloudera

@hackingdata

@mikeolson

@al3xandru

@bigdata

@tlipcon

@infochimps

@allcloudnews

@merv

@twitteross

 

Top keyword pairs by frequency of mention

V1V2WEIGHT

bigdata219

addshadoop120

mapradds100

hadoopconnectors100

movehighlights50

amazonmove49

highlightshadoop47

hadoophurdles47

cloudcomputing41

@ulitzer#cloud40

#cloud#cloudexpo40

#cloudexpo#cloudcomputing40

#cloudcomputing#bigdata40

#bigdata@cloudexpo40

@cloudexpo@bigdataexpo40

apache#hbase39

dataprocessing33

opensource32

#codemotion#es30

definitiveguide29

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

www.amazon.com/gp/product/0123822297?ie=utf8&tag=conn...

From: www.connectedaction.net

 

Connections among Twitter users who mentioned "social graph" on May 18, 2010 scaled by number of followers.

 

NodeXL is available from www.codeplex.com/nodexl

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6785112263/sizes/l/in/ph...

 

These are the connections among the Twitter users who recently tweeted the word educon when queried on January 26, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 1/29/2012 15:13 and ends on 1/29/2012 17:42 UTC. Green lines are "follows" relationships, blue lines are "reply" or "mentions" relationships.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6785112263/sizes/l/in/ph...

 

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

Top most between users:

@willrich45

@chrislehmann

@web20classroom

@thenerdyteacher

@bhsprincipal

@tomwhitby

@nmhs_principal

@rkiker

@plugusin

@baldy7

 

Top keyword pairs:

#educon, #cpchat, 86

google, earth, 73

#educon, #cpchat,50

@ransomtech,@willrich, 36

#edchat, #educon,33

dan, barcay, 29

barcay, #educon, 27

social, media,25

@missshuganah, @ransomtech, 22

#cpchat, #educon, 22

great, things,20

@gcouros, #educon, 20

doing, great, 18

delivery, mechanism, 18

content, mastery,16

@bhsprincipal, #educon, 16

great, things, 16

google, earth, 15

#edchat, #educon, 15

 

Graph Metric: Value

Graph Type: Directed

Vertices: 520

Unique Edges: 11960

Edges With Duplicates: 1821

Total Edges: 13781

Self-Loops: 552

Connected Components: 3

Single-Vertex Connected Components: 2

Maximum Vertices in a Connected Component: 518

Maximum Edges in a Connected Component: 13779

Maximum Geodesic Distance (Diameter): 5

Average Geodesic Distance: 2.217951

Graph Density: 0.045968579

Modularity: 0.17656

NodeXL Version: 1.0.1.199

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

This is my Facebook 1.5 degree network as extracted by: mysocnet.oii.ox.ac.uk/fb/guess_old.php and fed to NodeXL: nodexl.codeplex.com/ using the Harel-Koren layout.

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

From: www.connectedaction.net

 

Connections among the Twitter users who recently mentioned pdfleaks when queried on December 11, 2010 scaled by numbers of followers.

 

Highlighting @jeffjarvis, the #2 most between participant.

 

NodeXL is available from www.codeplex.com/nodexl

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

LinkedIn will now create a ego-centric network diagram of your LinkedIn contacts and their connections with one another.

Here is mine.

 

You can get one at: inmaps.linkedinlabs.com

 

From: www.connectedaction.net

 

Connections among the Twitter users who appear on Valdis Kreb's network-analysts Twitter list when queried on February 21, 2011 scaled by numbers of followers.

 

NodeXL is available from www.codeplex.com/nodexl

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

From: www.connectedaction.net

 

Connections among the Twitter users who recently mentioned #infra11 when queried on March 15, 2011.

 

Top between: @congresintranet, @entopic, @dhinchcliffe, @wturnhout, @driessen, @mavje, @tomv, @nancyvandervin, @davied, @tonybyrne

List available here: www.flickr.com/photos/marc_smith/5529685056

 

NodeXL is available from www.codeplex.com/nodexl

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

From: www.connectedaction.net

 

Connections among the Twitter users who recently mentioned Internet Archive when queried on February 24, 2011 scaled by numbers of followers.

 

NodeXL is available from www.codeplex.com/nodexl

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

I attended the Mobile Web Africa conference in Johannesburg, South Africa. The conference was a rich source of insight into the ways mobile technologies are changing the lives of millions of Africans.

The conference used Twitter and the hash tag #mwa09 to gather all the tweets about the presentations.

I used NodeXL (http://www.codeplex.com/nodexl) to collect these tweets and map the links between each user account.

In this image the nodes are located based on their connections to other nodes, revealing concentrations of ties between user accounts.

www.mobilewebafrica.com/

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6793088143/sizes/l/in/ph...

 

These are the connections among the Twitter users who recently tweeted the word pfizer when queried on January 30, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 1/28/2012 19:03 and ends on 1/30/2012 23:05 UTC. Green lines are "follows" relationships, blue lines are "reply" or "mentions" relationships.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6793088143/sizes/l/in/ph...

 

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

Top most between users:

@makersnazzair

@pfizer_news

@fredliberty2010

@smashsmamilk

@wsjhealth

@pfizerorw

@wsjbusiness

@benitecltd

@azendrian

@golfswingtrs

 

Top keyword pairs:

thanks, pfizer, 60

click, here, 60

free, sample, 59

fda, approves, 52

approves, pfizer, 40

sma, milk, 38

support, children, 34

supposedly, cater, 34

@smashsmamilk, #shameonpfizer, 34

cierne, medida, 32

empresa, pfizer, 32

expropiacion, contra, 31

bioportfolio, news, 24

kidney, cancer, 23

#pharma, #pfizer, 21

pfizer, sera, 20

sera, por, 20

fda, approval, 20

pfizer, inc, 20

 

Graph Metric: Value

Graph Type: Directed

Vertices: 1000

Unique Edges: 2585

Edges With Duplicates: 811

Total Edges: 3396

Self-Loops: 1067

Connected Components: 327

Single-Vertex Connected Components: 313

Maximum Vertices in a Connected Component: 652

Maximum Edges in a Connected Component: 2963

Maximum Geodesic Distance (Diameter): 10

Average Geodesic Distance: 3.57997

Graph Density: 0.002097097

Modularity: 0.486809

NodeXL Version: 1.0.1.199

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

From: www.connectedaction.net

 

Blogher 2010 (http://www.blogher.com/editorial-blogher10) was held in New York City on August 5-7.

 

Connections among the Twitter users who recently mentioned "blogher" when queried on August 10, 2010 scaled by numbers of followers.

 

The small line of isolates at the bottom indicate that #blogher is a very cohesive community that does not have a large passive bystander population - people who mention #blogher mostly also connect to others who do so as well.

 

NodeXL is available from www.codeplex.com/nodexl

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

From: www.connectedaction.net

 

Connections among the Twitter users who recently mentioned #oow10 when queried on September 20, 2010 scaled by numbers of followers.

 

A list of top betweenness users is here: www.flickr.com/photos/marc_smith/5010225982/

 

The Oracle Open World Conference was held in San Francisco, California on September 19-23, 2010. See:

www.oracle.com/us/openworld/index.html

 

NodeXL is available from www.codeplex.com/nodexl

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

Twitter users who mentioned "CHI2010" on April 11, 2010 scaled by number of followers.

NodeXL is available from www.codeplex.com/nodexl

www.connectedaction.net/2010/04/11/conference-nodexl-and-...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

From: www.connectedaction.net

 

Connections among the Twitter users who recently tweeted the word wiredbiz when queried on May 3, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

 

Layout using the "Group Layout" composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the network map is here: www.flickr.com/photos/marc_smith/5685714162/sizes/o/

 

A detailed list of top most between users is here: www.flickr.com/photos/marc_smith/5685145245/

 

Top most between users:

@timoreilly

@wiredbiz

@wired

@jpmanga

@scobleizer

@marthastewart

@sacca

@anildash

@techcocktail

@foratv

 

Graph Metric: Value

Graph Type: Directed

Vertices: 737

Unique Edges: 1961

Edges With Duplicates: 862

Total Edges: 2823

Self-Loops: 0

Connected Components: 10

Single-Vertex Connected Components: 9

Maximum Vertices in a Connected Component: 728

Maximum Edges in a Connected Component: 2823

Maximum Geodesic Distance (Diameter): 6

Average Geodesic Distance: 2.544005

Graph Density: 0.004385803

NodeXL Version: 1.0.1.166

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

 

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6216434818/

 

Connections among the Twitter users who recently tweeted the word wikisym when queried on October 5, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

 

See: www.wikisym.org/

 

Layout using the "Group Layout" composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6215725809/sizes/l/in/ph...

 

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

Top most between users:

 

@edchi

@jfelipe

@phauly

@readermeter

@hfordsa

@wikisym

@clifflampe

@staeiou

@geoplace

@wikimedia

 

Graph Metric: Value

Graph Type: Directed

Vertices: 170

Unique Edges: 1163

Edges With Duplicates: 2165

Total Edges: 3328

Self-Loops: 658

Connected Components: 5

Single-Vertex Connected Components: 3

Maximum Vertices in a Connected Component: 165

Maximum Edges in a Connected Component: 3319

Maximum Geodesic Distance (Diameter): 6

Average Geodesic Distance: 2.385502

Graph Density: 0.052941176

NodeXL Version: 1.0.1.179

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6937396055/sizes/l/

Data set: nodexlgraphgallery.org/Pages/Graph.aspx?graphID=445

 

These are the connections among the Twitter users who recently tweeted the word #nicar when queried on February 27, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 2/21/2012 00:36 and ends on 2/27/2012 23:18 UTC. Green lines are "follows" relationships, blue lines are "reply" or "mentions" relationships.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. The Harel-Koren layout algorithm positioned each vertex: en.wikipedia.org/wiki/Force-based_algorithms_(graph_drawing).

 

Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color. Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6937396055/sizes/l/

 

Betweenness Centrality is defined here: en.Wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Top most between users:

@ericg

@hbillings

@harrisj

@eads

@elthenerd

@marc_smith

@fishnette

@keaggy

@nicar_

@schwanksta

 

Top keyword pairs by frequency of mention

V1, V2, WEIGHT

#nicar, conference, 7

golden, age, 6

open, source, 6

finally, put, 6

jquery, tablechart, 6

tablechart, plugin, 6

easy, charts, 6

html, tables, 6

tables, https, 6

google, maps, 5

jjkd, ltc, 5

first, #nicar, 4

ire, members, 4

members, share, 4

share, advice, 4

data, viz, 4

union, station, 3

data, journalists, 3

journalists, push, 3

open, data, 3

 

Graph Metric, Value

Graph Type, Directed

Vertices, 57

Unique Edges, 185

Edges With Duplicates, 65

Total Edges, 250

Self-Loops, 58

Connected Components, 9

Single-Vertex Connected Components, 8

Maximum Vertices in a Connected Component, 49

Maximum Edges in a Connected Component, 241

Maximum Geodesic Distance (Diameter), 7

Average Geodesic Distance, 2.825239

Graph Density, 0.053884712

Modularity, 0.32806

NodeXL Version, 1.0.1.201

  

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6802971203/sizes/l/

 

These are the connections among the Twitter users who recently tweeted the word gamification when queried on February 1, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 1/26/2012 17:21 and ends on 1/29/2012 10:14 UTC. Green lines are "follows" relationships, blue lines are "reply" or "mentions" relationships.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6802971203/sizes/l/

 

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

Top most between users:

@gamification

@gzicherm

@badgeville

@jeanlucr

@artificialtwit

@pammktgnut

@seriosity

@rwang0

@webtechman

@bigdoor

 

Top keyword pairs:

top, stories, 67

stories, today, 63

today, via, 63

use, game, 51

game, based, 49

based, learning, 48

businesses, seek, 48

perfect, video, 48

video, game, 48

teach, civics, 46

#gamification, #pblchat, 46

sneaky, ways, 40

via, @pegfitzpatrick, 38

#gamification, daily, 37

successful, gamification, 35

game, design, 33

see, gamification, 26

enterprise, gamification, 23

@bennuworld, @practicallygrn, 21

@practicallygrn, @the_mutual, 21

 

Graph Metric: Value

Graph Type: Directed

Vertices: 1141

Unique Edges: 7241

Edges With Duplicates: 1327

Total Edges: 8568

Self-Loops: 882

Connected Components: 226

Single-Vertex Connected Components: 212

Maximum Vertices in a Connected Component: 900

Maximum Edges in a Connected Component: 8280

Maximum Geodesic Distance (Diameter): 12

Average Geodesic Distance: 3.452806

Graph Density: 0.005458431

Modularity: 0.333176

NodeXL Version: 1.0.1.200

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6526852557/sizes/l/in/ph...

 

These are the connections among the Twitter users who recently tweeted the word jowyang when queried on December 14, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 12/6/2011 15:30 and ends on 12/14/2011 14:34 UTC. In this network the account for @jowyang was removed to reveal the sub-groups that are connected only by their bridged connection through @jowyang.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6526852557/sizes/l/in/ph...

 

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

Top most between users:

@briansolis

@charleneli

@loic

@armano

@britopian

@jaybaer

@chrisheuer

@jbernoff

@thebrandbuilder

@shivsingh

 

Graph Metric: Value

Graph Type: Directed

Vertices: 919

Unique Edges: 7035

Edges With Duplicates: 655

Total Edges: 7690

Self-Loops: 44

Connected Components: 55

Single-Vertex Connected Components: 54

Maximum Vertices in a Connected Component: 865

Maximum Edges in a Connected Component: 7686

Maximum Geodesic Distance (Diameter): 7

Average Geodesic Distance: 2.751976

Graph Density: 0.008649403

Modularity: 0.264706

NodeXL Version: 1.0.1.196

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6934127903/sizes/l/

Data set: nodexlgraphgallery.org/Pages/Graph.aspx?graphID=427

 

These are the connections among the Twitter users who recently tweeted the word strataconf when queried on February 26, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 2/19/2012 17:46 and ends on 2/26/2012 22:17 UTC. Green lines are "follows" relationships, blue lines are "reply" or "mentions" relationships.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. The Harel-Koren layout algorithm positioned each vertex: en.wikipedia.org/wiki/Force-based_algorithms_(graph_drawing).

 

Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color. Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6934127903/sizes/l/

 

Betweenness Centrality is defined here: en.Wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Top most between users:

@strataconf

@timoreilly

@edd

@noahi

@oreillymedia

@visually

@acroll

@hackingdata

@digiphile

@peteskomoroch

 

Top word pairs by frequency of mention

V1, V2, WEIGHT

big, data, 166

next, week, 124

data, visualization, 79

public, good, 58

@strataconf, next, 45

#strataconf, next, 43

attending, @strataconf, 38

via, @radar, 33

excellent, overview, 32

#bigdata, landscape, 32

social, firehose, 32

santa, clara, 31

looking, forward, 31

sell, out, 30

#strataconf, #datascience, 30

running, out, 28

still, haven, 26

cto, @nik, 26

@radar, #strataconf, 26

miss, #thecube, 21

 

Graph Metric, Value

Graph Type, Directed

Vertices, 477

Unique Edges, 3343

Edges With Duplicates, 823

Total Edges, 4166

Self-Loops, 235

Connected Components, 22

Single-Vertex Connected Components, 21

Maximum Vertices in a Connected Component, 456

Maximum Edges in a Connected Component, 4144

Maximum Geodesic Distance (Diameter), 5

Average Geodesic Distance, 2.443044

Graph Density, 0.015657206

Modularity, 0.293503

NodeXL Version, 1.0.1.201

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

This is the NodeXL (http://nodexl.codeplex.com) generated map of the relationships among everyone who tweeted "WIN09" as seen in early October 2009 via search.twitter.com. Image size = #followers by that twitter account.

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

Twitter users who mentioned "bskyb" on March 12, 2010 scaled by number of followers.

NodeXL is available from www.codeplex.com/nodexl

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

"Online Community Unconference East 2010" - Links among people who tweeted "ocue10" on February 10th, 2010

Sized by numbers of followers.

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6956981781/sizes/l/

Data set: www.nodexlgraphgallery.org/Pages/Graph.aspx?graphID=452

 

These are the connections among the Twitter users who recently tweeted the word pawcon when queried on March 5, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 2/27/2012 16:00 and ends on 3/5/2012 16:54 UTC. Green lines are "follows" relationships, blue lines are "reply" or "mentions" relationships.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. The Harel-Koren layout algorithm positioned each vertex: en.wikipedia.org/wiki/Force-based_algorithms_(graph_drawing).

 

Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color. Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6956981781/sizes/l/

 

Betweenness Centrality is defined here: en.Wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Top most between users:

@pawcon

@sasanalytics

@kristinevick

@informs

@decisionmgt

@prospricing

@foresee

@zementis

@antionen

@teradata

 

V1, V2, WEIGHT

next, week, 25

social, data, 16

emergency, response, 16

san, francisco, 16

attending, #pawcon, 13

#pawcon, next, 11

francisco, next, 8

#pawcon, san, 8

predictive, #analytics, 6

@emetrics, keynote, 6

#sas, storyboards, 5

@pawcon, next, 5

inspire, collaboration, 5

business, value, 5

#analytics, story, 5

#pawcon, #demandcon, 5

#demandcon, #emetrics, 5

#emetrics, #convcon, 5

book, giveaways, 4

follow, @sasanalytics, 4

 

Graph Metric, Value

Graph Type, Directed

Vertices, 49

Unique Edges, 210

Edges With Duplicates, 84

Total Edges, 294

Self-Loops, 39

Connected Components, 3

Single-Vertex Connected Components, 1

Maximum Vertices in a Connected Component, 46

Maximum Edges in a Connected Component, 288

Maximum Geodesic Distance (Diameter), 5

Average Geodesic Distance, 2.150872

Graph Density, 0.093537415

Modularity, 0.305541

NodeXL Version, 1.0.1.201

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

Twitter users who mentioned "CHI2010" on April 12, 2010 scaled by number of followers. X = log(followers), y =tweets.

 

NodeXL is available from www.codeplex.com/nodexl

www.connectedaction.net/2010/04/11/conference-nodexl-and-...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6802864183/sizes/l/

 

These are the connections among the Twitter users who recently tweeted the word knight foundation when queried on February 1, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 1/25/2012 23:00 and ends on 2/1/2012 17:49 UTC. Green lines are "follows" relationships, blue lines are "reply" or "mentions" relationships.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6802864183/sizes/l/

 

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

Top most between users:

@knightfdn

@olpc

@craignewmark

@rachelsterne

@stevecase

@codeforamerica

@sxsw

@ibarguen

@jczamora

@fromthehip

 

V1, V2, WEIGHT

knight, foundation, 87

game, design, 74

civic, engagement, 73

increase, civic, 69

digital, literacy, 68

four, ideas, 55

via, @knightfdn, 51

@detroit, detroit, 51

@citizeneffect, @detroit, 49

@nickgrossman, @pahlkadot, 38

@pahlkadot, @rachelsterne, 38

@rachelsterne, @nsjacob, 38

check, out, 37

digital, learning, 36

learning, day, 36

@nsjacob, provide, 35

provide, insight, 35

@knightfdn, #newschallenge, 33

civic, tech, 32

tech, @nickgrossman, 32

 

Graph Metric: Value

Graph Type: Directed

Vertices: 408

Unique Edges: 2062

Edges With Duplicates: 952

Total Edges: 3014

Self-Loops: 57

Connected Components: 15

Single-Vertex Connected Components: 12

Maximum Vertices in a Connected Component: 392

Maximum Edges in a Connected Component: 2995

Maximum Geodesic Distance (Diameter): 5

Average Geodesic Distance: 2.141771

Graph Density: 0.014591463

Modularity: 0.290536

NodeXL Version: 1.0.1.200

  

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6670837635/sizes/l/in/ph...

 

These are the connections among the Twitter users who recently tweeted the word SciFri when queried on January 8, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 1/6/2012 19:10 and ends on 1/8/2012 22:47 UTC.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6670837635/sizes/l/in/ph...

 

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

Top most between users:

@scifri

@scifri_bot

@zapher134

@profvrr

@davidkroll

@afbr

@amyvernon

@ebuie

@smrtypnts84

@theotheradalger

 

Graph Metric: Value

Graph Type: Directed

Vertices: 145

Unique Edges: 106

Edges With Duplicates: 381

Total Edges: 487

Self-Loops: 43

Connected Components: 8

Single-Vertex Connected Components: 7

Maximum Vertices in a Connected Component: 138

Maximum Edges in a Connected Component: 480

Maximum Geodesic Distance (Diameter): 4

Average Geodesic Distance: 1.995381

Graph Density: 0.010057471

Modularity: 0.236712

NodeXL Version: 1.0.1.196

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

SpaBusiness Article summarizing my talk at the 2010 Global Spa Summit:

www.leisuremedia.com/digital/index1.cfm?codeid=16023&...

 

Marc Smith - Social media, sensors and spa

 

Social media has become a major force, as people search for services or discuss choices online with friends. Building a social media presence is now as important as traditional marketing, so if you don’t already have them, create your Twitter, Facebook, LinkedIn, Foursquare, and flickr accounts today, if only to listen to what your customers, or competitor's customers, are saying about you.

 

Once you’ve done this, more active engagement involves linking, blogging and replying to the people who are talking about you. This can be demanding and new staff may be needed. You should join these conversations because they’ll take place whether you contribute or not.

While there are costs in terms of time and expertise, there are also rewards, as you can access customer opinions more cheaply than through focus groups and with higher participation rates than surveys. You can also engage with influential advocates and enthusiasts.

 

Identifying key contributors in relevant conversations is the primary task of a social media strategy. Building a relationship with these central figures gives you greater reach and builds brand champions – the independent voices that can make (or break) your brand.

 

The science which enables us to understand the way all this works – Social Network Analysis (SNA) – is an arcane area of research that has traditionally required advanced maths and computing skills. That’s changing though, as new software makes analysing and visualising networks as easy as making a pie chart.

 

I work with the Social Media Research Foundation, a group dedicated to building open tools, data, and scholarship related to social media. The primary project from the Foundation is the 'network overview, discovery and exploration add-in for Excel' – the NodeXL Project for short – a free and open extension to the familiar spreadsheet.

 

Using NodeXL it’s easy to collect the network of people who have been talking about you online. If you need to learn about a topic quickly, you can identify key people and discussion areas and while search engines can only deliver lists of results, Social Network Analysis can answer questions like “are there sub-groups of people talking about me and what are their interests?”

Not everyone who tweets about your brand is equally connected to other people: some voices are louder than others. In a few clicks it’s possible to build a map of a community and see who’s talking about a topic and who’s at the center of the discussion.

 

Networks come in many shapes and sizes and network theory is a collection of measurements that capture their dimensions. The ‘vertex’ count shows how many people are in the network. The ‘edge’ count indicates how many connections there are among them and the ‘degree’ count shows who has the most connections.

 

Some networks are shaped like a sphere, some are fragmented like thousands of shards and others are shaped like an hourglass, with relatively separate clusters. Some people act as the bridge, connecting two otherwise separate clusters. These ‘between’ people can be brokers or gatekeepers. Sometimes people are firmly at the center of their core, but have limited connections to other clusters. Each plays an important function in the social media environment, and effective strategies need to focus on the cultivation of the right balance between different roles and engagement with people in critical locations on the graph.

 

A few minutes in NodeXL will allow you to identify a network of relevance to your business, identify the key contributors, and collect the topics being discussed.

 

_Mobile sensors_

More than three billion people carry mobile phones, that are rich with sensors for location (GPS), motion (accelerometer), light (video), and sound (microphone), meaning new forms of data from these devices and the sensors within them can now be added to the mix.

 

Phones also have devices that pick up radio tags like RFID and can measure heart rate, blood pressure, temperature, and even do glucose readings for diabetics. Health conscious, fitness-focused people are using these devices to track their workouts, with services like CureTogether, PatientsLikeMe, and products like FitBit being examples of this trend. Travellers are using cameras to snap pictures with geotags that link the picture to the location it was taken, while people with chronic illnesses can monitor and measure their vital signs and record dosages and responses.

 

Far from the secure world of private health information, social media has opened the door to millions of people broadcasting their vital signs to the world. How will spas respond when customers come to reception with terrabytes of their own health and activity data expecting customised service in return?

 

smrfoundation.org

nodexl.codeplex.com

Twitter users who mentioned "Symantec

" on April 9, 2010 scaled by number of followers.

NodeXL is available from www.codeplex.com/nodexl

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

Twitter users who mentioned "McAfee" on April 9, 2010 scaled by number of followers.

NodeXL is available from www.codeplex.com/nodexl

www.connectedaction.net/2010/04/11/conference-nodexl-and-...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

Data set: nodexlgraphgallery.org/Pages/EditGraph.aspx?graphID=767

 

Zoomable high resolution image: zoom.it/rtrN

 

The graph represents a network of 1099 Twitter users whose recent tweets contained "bain -"de " -"le " -"la "". The network was obtained on Friday, 06 July 2012 at 16:57 UTC. There is an edge for each follows relationship. There is an edge for each "replies-to" relationship in a tweet. There is an edge for each "mentions" relationship in a tweet. There is a self-loop edge for each tweet that is not a "replies-to" or "mentions". The tweets were made over the 7-hour period from Friday, 06 July 2012 at 09:33 UTC to Friday, 06 July 2012 at 16:48 UTC.

 

Query terms selected to exclude French language content.

 

The graph is directed.

 

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

 

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

 

The edge colors are based on relationship values. The vertex sizes are based on followers values. The vertex opacities are based on followers values.

 

Overall Graph Metrics:

Vertices: 1099

Unique Edges: 5767

Edges With Duplicates: 695

Total Edges: 6462

Self-Loops: 1322

Connected Components: 497

Single-Vertex Connected Components: 438

Maximum Vertices in a Connected Component: 470

Maximum Edges in a Connected Component: 5222

Maximum Geodesic Distance (Diameter): 8

Average Geodesic Distance: 2.709336

Graph Density: 0.00413772414398915

Modularity: 0.37134

NodeXL Version: 1.0.1.217

 

Top 10 Vertices, Ranked by Betweenness Centrality:

DavidCornDC

michellemalkin

DRUDGE_REPORT

LOLGOP

TheFlaCracker

BuzzFeedBen

TheDailyEdge

ThePlumLineGS

amyewalter

theprospect

 

Top Replied-To, in Entire Graph

bain_bi

jj_bain

mittromney

mikey_bain

ramdhaniyusli

georgiamaynardx

davidcorndc

tjwltn3119

holly_bain

charhornsby_

 

Top Mentioned, in Entire Graph

davidcorndc

davidaxelrod

motherjones

mittromney

thepowersthatbe

michellemalkin

libreview

amyewalter

cspanwj

drudge_report

 

Top URLs in Tweet, in Entire Graph

nyti.ms/MN48if

bit.ly/OexoxP

michellemalkin.com/2012/07/06/mitt-romney-bain-jobs-report/

bit.ly/LRIXKB

drudge.tw/M8KWa6

www.washingtonpost.com/opinions/ej-dionne-jr-mitt-romneys...

www.boston.com/news/globe/editorial_opinion/oped/articles...

libertarianreview.us/2012/04/15/mitt-romney-bain-capital-...

www.buzzfeed.com/mckaycoppins/romney-campaign-lets-outsou...

www.washingtonpost.com/business/economy/romneys-bain-capi...

 

Top Hashtags in Tweet, in Entire Graph

#tcot

#bain

#p2

#romney

#lnyhbt

#ff

#teaparty

#romneyswissbankaccount

#obama

#ows

 

Top Tweeters, in Entire Graph

celebrityprsnce

conservatweet

missb62

mommadona

lovelyladypa

mite72

freedomforthwin

filterednews

North_Group

DJTati718

From: www.connectedaction.net

 

Connections among the Twitter users who recently tweeted the hashtag #Glee when queried on April 11, 2011, scaled by numbers of followers (with outliers thresholded).

 

The data contains 3 hours and 10 minutes of data from 4/11/2011 at 15:08 through 18:18.

 

Layout using the "Group Layout" composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the network map is here: www.flickr.com/photos/marc_smith/5611797959/sizes/o

 

Top most between users:

@gleeonfox, @ultimategleeks, @superrtl, @carinafischer, @iamoriane, @iflamongo, @featdemilovato, @my_fanbase, @dominicmbarnes, @ukgleedvd

 

A more detailed list of the most between contributors is here: www.flickr.com/photos/marc_smith/5612379596/

 

Graph Metric: Value

Graph Type: Directed

Vertices: 1000

Unique Edges: 993

Edges With Duplicates: 755

Total Edges: 1748

Self-Loops: 0

Connected Components: 299

Single-Vertex Connected Components: 270

Maximum Vertices in a Connected Component: 665

Maximum Edges in a Connected Component: 1652

Maximum Geodesic Distance (Diameter): 10

Average Geodesic Distance: 2.508601

Graph Density: 0.001355355

NodeXL Version: 1.0.1.165

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6792756018/sizes/l/

Data set: nodexlgraphgallery.org/Pages/Graph.aspx?graphID=447

 

These are the connections among the Twitter users who recently tweeted the word bigdata when queried on February 27, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 2/26/2012 2:56 and ends on 2/27/2012 22:25 UTC. Green lines are "follows" relationships, blue lines are "reply" or "mentions" relationships.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. The Harel-Koren layout algorithm positioned each vertex: en.wikipedia.org/wiki/Force-based_algorithms_(graph_drawing).

 

Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color. Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6792756018/sizes/l/

 

Betweenness Centrality is defined here: en.Wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Top most between users:

@rwang0

@strataconf

@emccorp

@dhinchcliffe

@cloudexpo

@ibmbigdata

@bigdata

@jameskobielus

@thecloudnetwork

@attritionorg

 

Top word pairs by frequency of mention

V1, V2, WEIGHT

#cloudexpo, #cloudcomputing, 559

#cloudcomputing, #bigdata, 511

#cloud, #cloudexpo, 483

#bigdata, @cloudexpo, 343

@ulitzer, #cloud, 342

big, data, 275

@cloudexpo, @bigdataexpo, 170

@ulitzer, #cloudexpo, 87

#cloudexpo, #bigdata, 47

ups, fronts, 44

fronts, working, 44

working, capital, 44

commerce, merchants, 44

adoption, issues, 43

#bigdata, #analytics, 42

big, deal, 40

dimension, data, 39

data, #cloud, 39

#cloud, services, 39

new, york, 38

 

Graph Metric, Value

Graph Type, Directed

Vertices, 824

Unique Edges, 6978

Edges With Duplicates, 1697

Total Edges, 8675

Self-Loops, 755

Connected Components, 63

Single-Vertex Connected Components, 57

Maximum Vertices in a Connected Component, 757

Maximum Edges in a Connected Component, 8594

Maximum Geodesic Distance (Diameter), 11

Average Geodesic Distance, 3.118791

Graph Density, 0.010373781

Modularity, 0.309689

NodeXL Version, 1.0.1.201

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

From: www.connectedaction.net

 

Connections among the Twitter users who recently tweeted the word ASA2011 when queried on August 17, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

 

See: asanet.org/AM2011/index.cfm

 

Layout using the "Group Layout" composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6053172545/sizes/o

 

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

Top most between users:

@asanews

@sociologylens

@emerald_soc

@jessienyc

@kjhealy

@sagesociology

@asastudentforum

@davepurcell

@palgravesoc

@nathanjurgenson

 

Graph Metric: Value

Graph Type: Directed

Vertices: 185

Unique Edges: 2032

Edges With Duplicates: 725

Total Edges: 2757

Self-Loops: 184

Connected Components: 7

Single-Vertex Connected Components: 5

Maximum Vertices in a Connected Component: 178

Maximum Edges in a Connected Component: 2747

Maximum Geodesic Distance (Diameter): 5

Average Geodesic Distance: 2.186287

Graph Density: 0.064717979

NodeXL Version: 1.0.1.174

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

 

nodexlgraphgallery.org/Pages/Graph.aspx?graphID=766

 

Zoomable high resolution map: zoom.it/RZ8n

 

The graph represents a network of 790 Twitter users whose recent tweets contained "davidaxelrod". The network was obtained on Friday, 06 July 2012 at 04:17 UTC. There is an edge for each follows relationship. There is an edge for each "replies-to" relationship in a tweet. There is an edge for each "mentions" relationship in a tweet. There is a self-loop edge for each tweet that is not a "replies-to" or "mentions". The tweets were made over the 13-hour period from Thursday, 05 July 2012 at 15:51 UTC to Friday, 06 July 2012 at 04:14 UTC.

 

The graph is directed.

 

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

 

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

 

The edge colors are based on relationship values. The vertex sizes are based on followers values. The vertex opacities are based on followers values.

 

Overall Graph Metrics:

Vertices: 790

Unique Edges: 10791

Edges With Duplicates: 1647

Total Edges: 12438

Self-Loops: 138

Connected Components: 6

Single-Vertex Connected Components: 5

Maximum Vertices in a Connected Component: 785

Maximum Edges in a Connected Component: 12433

Maximum Geodesic Distance (Diameter): 4

Average Geodesic Distance: 2.012158

Graph Density: 0.0180488039659239

Modularity: 0.320785

NodeXL Version: 1.0.1.217

 

Top 10 Vertices, Ranked by Betweenness Centrality:

davidaxelrod

RBPundit

BuzzFeedBen

Daggy1

GayPatriot

jtLOL

AG_Conservative

BenLaBolt

dminor85

irritatedwoman

 

Top Replied-To, in Entire Graph

davidaxelrod

barackobama

ttjemery

gaypatriot

tark31

dminor85

pch3rdwtch

cbsnews

schultzohio

marklevinshow

 

Top Mentioned, in Entire Graph

davidaxelrod

barackobama

mittromney

messina2012

stefcutter

our4thestate

tark31

rbpundit

gop

billburton44

 

Top URLs in Tweet, in Entire Graph

www.breitbart.com/Big-Journalism/2012/07/05/Axelrod-Gives...

bit.ly/NewTax

abcnews.go.com/blogs/politics/2012/07/axelrod-to-abc-romn...

theobamadiary.com/2012/07/05/20-reasons-why-we-fight-for-...

dailycaller.com/2012/06/07/holder-admits-axelrod-white-ho...

www.buzzfeed.com/zekejmiller/axelrod-downplays-romneys-10...

wapo.st/Rk2Kmo

bit.ly/L4wrb6

theothermccain.com/2012/03/04/david-axelrods-red-roots-ob...

bit.ly/LRIXKB

 

Top Hashtags in Tweet, in Entire Graph

#tcot

#p2

#bettingonamerica

#obama

#obama2012

#fastandfurious

#romneyswissbankaccount

#davidaxelrod

#obamatax

#romney

 

Top Tweeters, in Entire Graph

GottaLaff

missb62

tahDeetz

Jarjarbug

Conservativeind

REALBROTHER0003

RBPundit

stefsstuff

Daggy1

IAMHARLEM

The graph represents a network of 256 Twitter users whose recent tweets contained "d3js", taken from a data set limited to a maximum of 1,500 users. The network was obtained on Sunday, 02 June 2013 at 15:43 UTC. There is an edge for each follows relationship. There is an edge for each "replies-to" relationship in a tweet. There is an edge for each "mentions" relationship in a tweet. There is a self-loop edge for each tweet that is not a "replies-to" or "mentions". The tweets were made over the 6-day, 22-hour, 12-minute period from Sunday, 26 May 2013 at 13:47 UTC to Sunday, 02 June 2013 at 12:00 UTC.

 

The graph is directed.

 

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

 

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

 

The edge colors are based on relationship values. The edge widths are based on edge weight values. The edge opacities are based on edge weight values. The vertex sizes are based on followers values. The vertex opacities are based on followers values.

 

Overall Graph Metrics:

Vertices: 256

Unique Edges: 1074

Edges With Duplicates: 261

Total Edges: 1335

Self-Loops: 176

Reciprocated Vertex Pair Ratio: 0.3125

Reciprocated Edge Ratio: 0.476190476190476

Connected Components: 50

Single-Vertex Connected Components: 41

Maximum Vertices in a Connected Component: 178

Maximum Edges in a Connected Component: 1169

Maximum Geodesic Distance (Diameter): 7

Average Geodesic Distance: 2.542318

Graph Density: 0.0160845588235294

Modularity: 0.315299

NodeXL Version: 1.0.1.234

 

Top 10 Vertices, Ranked by Betweenness Centrality:

mbostock

alignedleft

d3visualization

DashingD3js

jcukier

zziuni

tmcw

djonglez

herrstucki

outliers_es

 

Top URLs in Tweet in Entire Graph:

d3js.org/

chimera.labs.oreilly.com/books/1230000000345/

github.com/interactivethings/d3-grid

bl.ocks.org/herrstucki/5684816

d3js.org

blog.vctr.me/posts/central-limit-theorem.html

d3tetris.herokuapp.com/

eyeofestival.com/speaker/scott-murray/

racker.github.io/glimpse.js-website/

bl.ocks.org/mbostock/5663666

 

Top URLs in Tweet in G1:

racker.github.io/glimpse.js-website/

github.com/interactivethings/d3-grid

bl.ocks.org/herrstucki/5684816

d3tetris.herokuapp.com/

bl.ocks.org/MattWoelk/5687467

www.youtube.com/watch?v=t4LI7moi5-Q

www.niemanlab.org/2013/05/how-does-quartz-create-visualiz...

dimplejs.org/

bl.ocks.org/mbostock/5649592

chimera.labs.oreilly.com/books/1230000000345/

 

Top URLs in Tweet in G2:

github.com/interactivethings/d3-grid

bl.ocks.org/herrstucki/5684816

github.com/tmcw/force-geojson

a.tiles.mapbox.com/v3/tmcw.miserables/page.html#4.00/0.00...

dola.colorado.gov/gis-cms/content/colorado-county-population

github.com/milroc/d3.MVC

chimera.labs.oreilly.com/books/1230000000345/

d3js.org/

bl.ocks.org/emacgillavry/5669391

emacgillavry.github.io/PDOK-Leaflet/

 

Top URLs in Tweet in G3:

d3js.org/

d3js.org

www.slideshare.net/kadoppe/d3js-svg

networking.ittoolbox.com/r/rss.asp?url=http://it.toolbox....

www.npr.org/blogs/health/2013/05/08/182209789/medicare-pu...

instagram.com/p/Zy7d3-D3Js/

vimeo.com/66085662

bl.ocks.org/mbostock/1093025

hansrwindhoff.wordpress.com/d3jswin8appstore/

github.com/zoomdata

 

Top URLs in Tweet in G4:

chimera.labs.oreilly.com/books/1230000000345/

d3js.org/

eyeofestival.com/speaker/scott-murray/

alignedleft.com/tutorials/d3/

www.jeromecukier.net/blog/2012/05/28/manipulating-data-li...

purecss.io/

topcoat.io/

nvd3.org/

d3tetris.herokuapp.com/

en.wikipedia.org/wiki/Data-driven_programming

 

Top URLs in Tweet in G5:

d3js.org

www.ustream.tv/channel/id/13941361?utm_campaign=ustre-am&...

 

Top URLs in Tweet in G6:

hacknight.in/fifthelephant/2013-visualization#/participants

4thmain.github.io/d3hacks/wiki-atlas.html

docs.google.com/spreadsheet/ccc?key=0AqMEGBUNwXeHdHpQNlVu...

 

Top URLs in Tweet in G7:

d3js.org/

 

Top URLs in Tweet in G8:

d3js.org/

github.com/interactivethings/d3-grid

bl.ocks.org/herrstucki/5684816

d3js.org

misoproject.com/d3-chart/

 

Top URLs in Tweet in G9:

t.co/8snRD64EBo

 

Top URLs in Tweet in G10:

weblog.bocoup.com/reusability-with-d3/

d3js.org/

d3js.org

yeoman.io/

 

Top Domains in Tweet in Entire Graph:

d3js.org

ocks.org

github.com

oreilly.com

dimplejs.org

github.io

bocoup.com

vctr.me

herokuapp.com

speakerdeck.com

 

Top Domains in Tweet in G1:

ocks.org

dimplejs.org

github.com

github.io

herokuapp.com

bocoup.com

freelanceastrophysicist.com

youtube.com

niemanlab.org

t.co

 

Top Domains in Tweet in G2:

github.com

ocks.org

dimplejs.org

github.io

mapbox.com

colorado.gov

oreilly.com

d3js.org

stackoverflow.com

vctr.me

 

Top Domains in Tweet in G3:

d3js.org

github.com

slideshare.net

ittoolbox.com

npr.org

instagram.com

vimeo.com

ocks.org

wordpress.com

drewconway.com

 

Top Domains in Tweet in G4:

oreilly.com

d3js.org

eyeofestival.com

ocks.org

alignedleft.com

jeromecukier.net

purecss.io

topcoat.io

nvd3.org

herokuapp.com

 

Top Domains in Tweet in G5:

d3js.org

ustream.tv

 

Top Domains in Tweet in G6:

hacknight.in

github.io

google.com

 

Top Domains in Tweet in G7:

d3js.org

 

Top Domains in Tweet in G8:

d3js.org

github.com

ocks.org

misoproject.com

 

Top Domains in Tweet in G9:

t.co

 

Top Domains in Tweet in G10:

d3js.org

bocoup.com

yeoman.io

 

Top Hashtags in Tweet in Entire Graph:

d3js

ccstechmeetup

dataviz

visualization

dimplejs

infographics

js

bangalore

r

datatuesday

 

Top Hashtags in Tweet in G1:

d3js

dataviz

js

dimplejs

infographics

govhack

into

datavisualization

recordedfuture

jqm

 

Top Hashtags in Tweet in G2:

d3js

dataviz

dimplejs

infographics

pdok

osgeonl

bocoup

datavisualization

dimple

d3charts

 

Top Hashtags in Tweet in G3:

d3js

ccstechmeetup

fluentconf

visualization

angularjs

bootstrap

jasmine

nfc

linkedin

visualisation

 

Top Hashtags in Tweet in G4:

d3js

hackforchange

dataviz

eyeo2013

hacktothefuture

dimplejs

infographics

happy

 

Top Hashtags in Tweet in G5:

ccstechmeetup

d3js

dislexia

nimbox

 

Top Hashtags in Tweet in G6:

d3js

dataviz

visualization

bangalore

r

 

Top Hashtags in Tweet in G8:

d3js

spark

playframework

miso

 

Top Hashtags in Tweet in G9:

datatuesday

d3js

data

visualization

infographic

tools

dev

js

osm

leaflet

 

Top Hashtags in Tweet in G10:

fb

 

Top Words in Tweet in Entire Graph:

d3js

rt

d3

js

data

alignedleft

d3visualization

new

en

ccstechmeetup

 

Top Words in Tweet in G1:

d3js

rt

js

d3

d3visualization

using

new

charts

chart

via

 

Top Words in Tweet in G2:

d3js

rt

d3visualization

force

geojson

graphs

hello

grid

layout

herrstucki

 

Top Words in Tweet in G3:

d3js

data

d3

js

visualization

javascript

library

documents

de

via

 

Top Words in Tweet in G4:

d3js

rt

alignedleft

book

free

online

data

version

interactive

new

 

Top Words in Tweet in G5:

d3js

ccstechmeetup

en

la

gráficos

el

de

interesante

para

interactivos

 

Top Words in Tweet in G6:

d3js

rt

dataviz

nerds

register

hasgeek's

data

visualization

hacknight

29

 

Top Words in Tweet in G7:

você

precisa

fazer

gráficos

na

sua

página

web

e

ainda

 

Top Words in Tweet in G8:

d3

rt

js

enjoying

downtime

coding

library

fun

make

things

 

Top Words in Tweet in G9:

d3js

par

leaflet

spagobi

datatuesday

altic_buzz

intégration

amp

présentation

l'open

 

Top Words in Tweet in G10:

ㅎㅎ

rt

bookmarked

exploring

reusability

d3js

connect

http

t

co

 

Top Word Pairs in Tweet in Entire Graph:

d3,js

rt,d3visualization

d3js,book

hello,d3js

d3js,grid

grid,layout

herrstucki,hello

rt,alignedleft

using,d3js

rt,herrstucki

 

Top Word Pairs in Tweet in G1:

rt,d3visualization

d3,js

top,d3js

using,d3js

glimpse,js

js,new

new,chart

chart,library

library,top

d3js,rackspace

 

Top Word Pairs in Tweet in G2:

rt,d3visualization

hello,d3js

d3js,grid

grid,layout

rt,herrstucki

herrstucki,hello

force,geojson

geojson,d3js

d3js,force

force,layouts

 

Top Word Pairs in Tweet in G3:

d3,js

javascript,library

library,manipulating

manipulating,documents

documents,based

based,data

js,javascript

using,d3js

exploring,reusability

reusability,d3js

 

Top Word Pairs in Tweet in G4:

d3js,book

free,online

rt,alignedleft

online,version

version,d3js

alignedleft,new

new,free

book,inline

inline,interactive

interactive,examples

 

Top Word Pairs in Tweet in G5:

interactivos,ccstechmeetup

d3js,permite

permite,realizar

realizar,gráficos

gráficos,interactivos

ccstechmeetup,robgomezv

robgomezv,más

más,info

d3js,en

muy,interesante

 

Top Word Pairs in Tweet in G6:

dataviz,nerds

nerds,register

register,hasgeek's

hasgeek's,data

data,visualization

visualization,hacknight

hacknight,29

29,amp

amp,30

30,jun

 

Top Word Pairs in Tweet in G7:

você,precisa

precisa,fazer

fazer,gráficos

gráficos,na

na,sua

sua,página

página,web

web,e

e,ainda

ainda,está

 

Top Word Pairs in Tweet in G8:

d3,js

enjoying,downtime

downtime,coding

coding,d3

js,library

library,fun

fun,make

make,things

rt,adamcecc

adamcecc,enjoying

 

Top Word Pairs in Tweet in G9:

d3js,leaflet

par,altic_buzz

datatuesday,intégration

intégration,d3js

leaflet,amp

amp,spagobi

spagobi,par

présentation,par

altic_buzz,l'open

l'open,source

 

Top Word Pairs in Tweet in G10:

bookmarked,exploring

exploring,reusability

reusability,d3js

http,t

t,co

zziuni,저랑

저랑,같은문제

같은문제,ㅎㅎ

ㅎㅎ,도

도,github

 

Top Replied-To in Entire Graph:

alignedleft

mroytman

fleapalmer

kiyanwang

kadaba

grantmiiller

blister

zziuni

jkiernander

manuelaristaran

 

Top Replied-To in G1:

alignedleft

jkiernander

prcweb

mbostock

 

Top Replied-To in G2:

mroytman

d3visualization

kiyanwang

fleapalmer

 

Top Replied-To in G3:

dvladar

joelcochran

malloc47

detrrg

 

Top Replied-To in G4:

manuelaristaran

 

Top Replied-To in G5:

kadaba

 

Top Replied-To in G8:

timperrett

 

Top Replied-To in G10:

zziuni

 

Top Mentioned in Entire Graph:

d3visualization

alignedleft

herrstucki

mbostock

jkiernander

sandersk

rem

dashingd3js

eyeofestival

rackspace

 

Top Mentioned in G1:

d3visualization

jkiernander

mbostock

rackspace

alignedleft

herrstucki

dashingd3js

brendankenny

qz

niemanlab

 

Top Mentioned in G2:

d3visualization

herrstucki

alignedleft

mbostock

tmcw

danieljtrone

janwillemtulp

brendankenny

milr0c

briantimoney

 

Top Mentioned in G3:

ireneros

themisoproject

cloud9ide

jskarma

nprnews

d3js

raphaeljs

couchdb

mongodb

worrydream

 

Top Mentioned in G4:

alignedleft

sandersk

rem

eyeofestival

d3visualization

jcukier

mbostock

janwillemtulp

hackshackersros

pixelbeat

 

Top Mentioned in G5:

robgomezv

joseadanof

guzman6001

eleazarm

ivanchild

 

Top Mentioned in G6:

hasgeek

rasagy

wikidata

planemad

outliers_es

 

Top Mentioned in G7:

vcavalcante

 

Top Mentioned in G8:

adamcecc

herrstucki

dashingd3js

 

Top Mentioned in G9:

altic_buzz

djonglez

altic

kejoff

cap_digital

 

Top Mentioned in G10:

outsideris

insanehong

zziuni

 

Top Tweeters in Entire Graph:

devseo

round_kmdr

miminashi

imarshut

cdharrison

MarkGStacey

yo_thanland

psnively

palafo

martin1975

 

Top Tweeters in G1:

palafo

tsubame959

tdhopper

VictusFate

braoru

mrejfox

acanimal

silverfighter

gelicia

makoto_inoue

 

Top Tweeters in G2:

MarkGStacey

yo_thanland

Vieilfrance

arnicas

nodename

Biff_Bruise

kelsosCorner

JanWillemTulp

PetersonGIS

tmcw

 

Top Tweeters in G3:

devseo

imarshut

titash

velvetflair

aseba

waytoofly77

brnt

irwin

pronamc

abausk

 

Top Tweeters in G4:

reiver

jen4web

carlplant

Jensenrf

lindseak

atleb

dzajdband

njyo

Viil

alignedleft

 

Top Tweeters in G5:

Ivanchild

joseadanof

majoauday

yei_blanco

guzman6001

4GeeksLA

TendenciasD

josegmatera

VicenteMarquezM

ProgressumIT

 

Top Tweeters in G6:

jackerhack

rasagy

izno

zainabbawa

planemad

v1pl

phoenixwizard

wikidata

vrandezo

OpenHypervideo

 

Top Tweeters in G7:

cdssoftware

vcavalcante

mrquinta

cabarini

rafaelsdp

AndreAbrantes

 

Top Tweeters in G8:

psnively

martin1975

dakami

seofr

adamcecc

lexicallyscoped

 

Top Tweeters in G9:

Cap_Digital

djonglez

ykacenelen

Altic_Buzz

achabannes

 

Top Tweeters in G10:

Outsideris

zziuni

dolhani

insanehong

odyss009

From: www.connectedaction.net

 

Connections among the Twitter users who recently mentioned #NWF when queried on September 14, 2010 scaled by numbers of followers.

 

NodeXL is available from www.codeplex.com/nodexl

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

From: www.connectedaction.net

 

Connections among the Twitter users who recently tweeted the hashtag philanthropy when queried on April 11, 2011, scaled by numbers of followers (with outliers thresholded).

 

The data contains 41 hours and 26 minutes of data from 4/10/2011 at 00:26 through 4/11/2011 at 17:52.

 

Layout using the "Group Layout" composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the network map is here: www.flickr.com/photos/marc_smith/5612381218/sizes/o

 

Top most between users:

@philanthropy, @socialedge, @michaelchatman, @paidcontent, @fdncenter, @acumenfund, @cof_, @ubiquityfund, @2morrowknight, @philanthropy411

 

A more detailed list of the most between contributors is here: www.flickr.com/photos/marc_smith/5611798045

 

Graph Metric: Value

Graph Type: Directed

Vertices: 1000

Unique Edges: 5803

Edges With Duplicates: 601

Total Edges: 6404

Self-Loops: 0

Connected Components: 298

Single-Vertex Connected Components: 264

Maximum Vertices in a Connected Component: 656

Maximum Edges in a Connected Component: 6287

Maximum Geodesic Distance (Diameter): 14

Average Geodesic Distance: 2.989549

Graph Density: 0.006103103

NodeXL Version: 1.0.1.165

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6792693582/sizes/l/

Data set: nodexlgraphgallery.org/Pages/EditGraph.aspx?graphID=446

 

These are the connections among the Twitter users who recently tweeted the word darpa when queried on February 27, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 2/22/2012 14:54 and ends on 2/28/2012 5:20 UTC. Green lines are "follows" relationships, blue lines are "reply" or "mentions" relationships.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. The Harel-Koren layout algorithm positioned each vertex: en.wikipedia.org/wiki/Force-based_algorithms_(graph_drawing).

 

Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color. Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6792693582/sizes/l/

 

Betweenness Centrality is defined here: en.Wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Top most between users:

@mashzipprshop

@darpa_news

@dilekneseaciker

@wireduk

@ys_karasu

@govexec

@liberationtech

@wired_jp

@digiphile

@spooksandgeeks

 

Top word pairs by frequency of mention

V1, V2, WEIGHT

social, media, 58

self, healing, 57

mit, research, 55

healing, cloud, 51

cold, fusion, 50

cern, peer, 50

peer, through, 50

tamer, yelkovan, 43

darpa, maruz, 43

darpa, challenge, 42

robot, surrogates, 41

regina, dugan, 40

leading, innovation, 34

avatar, program, 33

reveals, avatar, 32

robot, soldiers, 32

computer, science, 31

food, #cliqrquest, 31

darpa, reveals, 31

darpa, releases, 30

 

Graph Metric, Value

Graph Type, Directed

Vertices, 1000

Unique Edges, 2590

Edges With Duplicates, 971

Total Edges, 3561

Self-Loops, 1006

Connected Components, 223

Single-Vertex Connected Components, 207

Maximum Vertices in a Connected Component, 757

Maximum Edges in a Connected Component, 3252

Maximum Geodesic Distance (Diameter), 11

Average Geodesic Distance, 3.523691

Graph Density, 0.002261261

Modularity, 0.463303

NodeXL Version, 1.0.1.201

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

From: www.connectedaction.net

 

Connections among the Twitter users who recently tweeted the word Galway when queried on July 3, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

 

Layout using the "Group Layout" composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/5899578549/sizes/o

 

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Top most between users:

@colmtobin

@rtegaa

@officialgaa

@aaroadwatch

@gergilroy

@galwayad

@gaa_beo

@setantasports

@jimmynorman

@volvo_oceanrace

 

Graph Metric: Value

Graph Type: Directed

Vertices: 967

Unique Edges: 6428

Edges With Duplicates: 1379

Total Edges: 7807

Self-Loops: 1122

Connected Components: 274

Single-Vertex Connected Components: 246

Maximum Vertices in a Connected Component: 655

Maximum Edges in a Connected Component: 7299

Maximum Geodesic Distance (Diameter): 13

Average Geodesic Distance: 3.114706

Graph Density: 0.006586934

NodeXL Version: 1.0.1.171

 

The local networks of each of the users is shown alongside the complete network graph.

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

 

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