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I have so many connections on LinkedIn it became almost unusable and started becoming a repository of business contacts. This visualization, though mesmerizing to me at first and to others as well, is interesting though the groups are spread around time, location, profession and education.
The top and left is more related to my design expertise, the lower right is more my personal life.
Also the edges are filled with people I barely know. Then again in the center it is often the same.
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
This is a visualization of a blog community. It's one of the end results of our project. In the visualization, thicker lines suggest a stronger connection between the two blogs. If you want to know more, or play with it, hop over to www.blogslikethis.com/
Visualizing the various features of the SwiftRiver distributed reputation and veracity functionality.
Things like Time, Location, Activeness as well as Global and Local interaction, are all considered in scoring. Time (green) and Location (dark grey) are optional, for scenarios like a conflict or war. The content producer’s location, or proximity to ‘ground zero’ tells the system to factor this in to its score. Also the length of time that content is produced after the initial event may also tell us a lot. Things like ‘time’ and ‘location’ are optional because if your Swift instance is tracking something like a political scandal, time and proximity may not actually add any value to authority calculations.
Purple represents how active Users 1 and 2 are. In and of itself how much someone uses a Swift instance is irrelevants. It could mean that they are an eager member providing valuable assistance, or it could mean they are attempting a brute force attack on the system similar to the Figure 1 scenario. However, when coupled with other factors, frequency of interaction is considered and can positively or negatively weight the score for a user.
Hydrogen accounts for about 74 percent of the normal matter in the Universe. This visualization shows the electron clouds of hydrogen through the probability density function when the principal quantum number, N, is 1 and 2. The probability density illustrates where the electron is most likely to be found if measured, red indicates high probability, blue indicates low probability.
Update: 2020/06/22: A 16k version is now available.
Update: 2020/07/06: A visualization showing all electron orbitals for N=1 to 6 is also available on Youtube: youtu.be/HyRHT4yOvms
Ascent Penthouse
Client: Mr Dung - IAM Architecture
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@ Long Nguyen & Thu Nguyen
Architecture - Interior Design & 3D Visualization
0979 962 864, Ho Chi Minh City
advlongnguyen@gmail.com
Here's a quick and dirty attempt to automatically determine arterial streets without any prior knowledge about the arterial status of a street. The idea is: a shortest path tree is taken for a bunch of random points, and the trunkyness of each branch was determined. The trunkynesses of the roads are summed, and this is the resulting map. It sort of works.
The average San Francisco prices go beyond the $700k limit. But even so, housing is way cheaper in Baltimore.
Sources:
Money plays a central role to life in EVE. What does 200B ISK in damage actually look like? When I lose a Battleship, how much is that setting me back? How many Logistics ships could you buy instead of one Dreadnaught?
More details on how I collected the data, and why, in my post on this visualization.
You'll need to zoom in on this to see the details.
This image is part my new blog about EVE Online that tries to explain and document the world, with a focus on making it accessible for non-players and new players.
Mike Moradi, Founder and Chief Executive Officer, Sensulin, USA; Young Global Leader capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary
I'm playing with a new theme for my blog, and wanted a better way to let people quickly scan for how many posts I had. So I used a background image of black, offset with background-position in css to let a graph "show through" to show the count.
I've also posted the PHP and CSS code for WordPress to make this work: http://gist.github.com/304290
It looks better larger: http://www.flickr.com/photos/artlung/4356884087/sizes/o/
In its 2006 Gallery, the journal Nature chose an image that spatially lays out different areas of science in a plane. It is a reduction of a large-format (42" x 43") paper print.
The map was constructed by sorting roughly 800,000 scientific papers (shown as white dots) into 776 different scientific paradigms (red circular nodes) based on how often the papers were cited together by authors of other papers. Links (curved lines) were made between the paradigms that shared common members, then treated as rubber bands, holding similar paradigms nearer one another when a physical simulation had every paradigm repel every other: thus the layout derives directly from the data. Larger paradigms have more papers. Labels list common words unique to each paradigm.
This work was commissioned and partially supported by Katy Borner and the Places and Spaces: Mapping Science exhibition.
www.visualcomplexity.com/vc/project_details.cfm?id=421&am...
visualization in-progress - this is a dataset of twitter messages taken from the #140conf that jeff pulver organized in Tel Aviv last December.
The Taj Mahal located in the white spot of a heatmap of compass data taken from public Flickr photos.
See the related Flickr Blog post.
Ascent Penthouse
Client: Mr Dung - IAM Architecture
---
@ Long Nguyen & Thu Nguyen
Architecture - Interior Design & 3D Visualization
0979 962 864, Ho Chi Minh City
advlongnguyen@gmail.com
From: www.connectedaction.net
Link: www.flickr.com/photos/marc_smith/6232945955/
Connections among the Twitter users who recently tweeted the word OccupyWallStreet or #OWS when queried on October 10, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.
See: occupywallst.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/6232945955/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:
@occupywallstnyc
@katmckinley
@salon
@occupymusic
@lucykafanov
@occupy_boston
@diggrbiii
@charlesbivona
@talkmaster
@weoccupyamerica
Graph Metric: Value
Graph Type: Directed
Vertices: 1000
Unique Edges: 4645
Edges With Duplicates: 989
Total Edges: 5634
Self-Loops: 944
Connected Components: 264
Single-Vertex Connected Components: 253
Maximum Vertices in a Connected Component: 725
Maximum Edges in a Connected Component: 5282
Maximum Geodesic Distance (Diameter): 8
Average Geodesic Distance: 3.265154
Graph Density: 0.004344344
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.
A "mind map" with relevant topics for UbiScribe, the research trajectory about online publishing that I'm participating in. This graph was created for our first joint print-on-demand (POD) publication, UbiScribe 0.9.0.
This map has no scientific pretentions whatsoever -- I created it as an intuitive outline of topics related to online publishing. The "ant trails" offer possible interconnections between topics, but of course other relationships can be drawn as well.
More info: http://www.ubiscribe.net
Illustrative Visualization of a german climate change adaption research network – using processing and a metaball force field fpr moving agents