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&...
tweetedtimes.com/#!/search/dataviz,%20datavisualization/en
tweetedtimes.com/#!/search/data%20visualisation/en
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=...;
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...
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&...
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...
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
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:
qz.com/89019/29-of-the-worlds-largest-bike-sharing-progra...
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:
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...
Top URLs in Tweet in G8:
www.allanalytics.com/author.asp?section_id=1411&doc_i...
www.icharts.net/blogs/2013/spotlight-interview-communicat...
investors.tableausoftware.com/overview/default.aspx
Top URLs in Tweet in G9:
www.theverge.com/2013/6/1/4386496/twitter-turns-geotagged...
complexdiagrams.com/properties
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
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
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
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
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.
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.
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.
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:
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?
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
michellemalkin.com/2012/07/06/mitt-romney-bain-jobs-report/
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...
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...
theothermccain.com/2012/03/04/david-axelrods-red-roots-ob...
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:
chimera.labs.oreilly.com/books/1230000000345/
github.com/interactivethings/d3-grid
bl.ocks.org/herrstucki/5684816
blog.vctr.me/posts/central-limit-theorem.html
eyeofestival.com/speaker/scott-murray/
racker.github.io/glimpse.js-website/
Top URLs in Tweet in G1:
racker.github.io/glimpse.js-website/
github.com/interactivethings/d3-grid
bl.ocks.org/herrstucki/5684816
www.youtube.com/watch?v=t4LI7moi5-Q
www.niemanlab.org/2013/05/how-does-quartz-create-visualiz...
chimera.labs.oreilly.com/books/1230000000345/
Top URLs in Tweet in G2:
github.com/interactivethings/d3-grid
bl.ocks.org/herrstucki/5684816
a.tiles.mapbox.com/v3/tmcw.miserables/page.html#4.00/0.00...
dola.colorado.gov/gis-cms/content/colorado-county-population
chimera.labs.oreilly.com/books/1230000000345/
bl.ocks.org/emacgillavry/5669391
emacgillavry.github.io/PDOK-Leaflet/
Top URLs in Tweet in G3:
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...
hansrwindhoff.wordpress.com/d3jswin8appstore/
Top URLs in Tweet in G4:
chimera.labs.oreilly.com/books/1230000000345/
eyeofestival.com/speaker/scott-murray/
www.jeromecukier.net/blog/2012/05/28/manipulating-data-li...
en.wikipedia.org/wiki/Data-driven_programming
Top URLs in Tweet in G5:
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:
Top URLs in Tweet in G8:
github.com/interactivethings/d3-grid
bl.ocks.org/herrstucki/5684816
Top URLs in Tweet in G9:
Top URLs in Tweet in G10:
weblog.bocoup.com/reusability-with-d3/
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
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.