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Geocode your Twitter network with NodeXL

As mobile devices become a major method for authoring and consuming social media, location data is increasingly a part of many posts, tweets, check-ins, and messages.  Many Twitter clients, for example, can add the user’s current latitude and longitude to the metadata associated with a tweet.  Other systems like Facebook Places, Google Latitude and Foursquare [...]
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Expand and Collapse Groups of Vertices with NodeXL v.132

Clusters are now groups in NodeXL. Recently, the NodeXL team has been focused on a set of new features related to grouping sets of vertices together.  In the previous version we released a feature that allowed all sorts of groupings to be recorded in the worksheet.  What’s new is that the three clustering algorithms we [...]
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Bernie Hogan’s Facebook Network Map featured in Journal of Social Structure (JOSS) (Made with NodeXL)

The Journal of Social Structure has released its First Annual JoSS Visualization Symposium results and two of the images were generated with NodeXL.  One of the two is Bernie Hogan’s radial layout applied to representing Facebook Friend networks. http://jossviz.wordpress.com/2010/06/23/friendwheel-layout-of-a-facebook-network/ The Journal of Social Structure (JoSS) is an electronic journal of the International Network for Social [...]
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Paper: Tech Report at University of Maryland on EventGraphs

A new paper on visualizing social media has been released on the University of Maryland, Human Computer Interaction Laboratory tech report archive.  Co-authored by Derek Hansen,  myself, and Ben Shneiderman, the paper describes and visualizes the patterns of connections formed when people tweet about events like conferences and news stories. EventGraphs_2010_HCIL_Tech_Report http://www.cs.umd.edu/localphp/hcil/tech-reports-search.php?number=2010-13 Hansen, D., Smith, [...]
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