On December 4th, I will be attending the Oxford Internet Institute's Forum on Relationships and the Internet which will feature researchers focused on computer-mediated relationships. Rather than being used primarily to access information, people often use networked computing to access…
Version 95 of NodeXL is hot off the compiler and we are pleased to announce several major features that create a social media network analysis dashboard. From the NodeXL interface it is now possible to import networks from twitter, flickr, email, and a range of social network file formats. Coming soon: support for more spigots – the connectors that pull data from leading social media sources.
What social media data most interest you? We are considering integration with web and wiki crawlers, and support for YouTube, delicious, and enterprise data sources like Active Directory (LDAP), SharePoint, and Exchange.
This release also improves support for images, particularly those pulled from URLS, like twitter or facebook profile photos!
Here, for example, is a map of the connections among twitter accounts that tweeted the “WIN09” tag that was used in the recent Social Networks Summit at NYU (http://winworkshop.net/) The map illustrates the way the summit brought together previously separate clusters of people from the various disciplines that have been attracted to the study of networks in general and social networks in particular. Size of the image equals the number of tweets that person created.
A refined version adds Edge Labels and color to highlight the different tie types in the graph: “follows” relationships and “replies to” and “mentions” and now scaled by “Followers”.
In both views, the high betweenness role of one twitter account is clear.
Release details below the fold….
The network created by "Who follows who among the people who tweeted "#CHI2010". Node size is proportional to total tweets. Generated with NodeXL On October 29th, I will be offering a workshop in Mountain View, California on the application of…
A recent paper makes use of NodeXL to create illustrations of data from connections among twitter users drawn from the United States presidential debates in October 2008. One illustration highlights the major clusters in the network. Tweet the Debates: Understanding…
A new free and open project to implement a web based social network visualization front end is available on Codeplex: the "Information Connections Engine (ICE) is a Silverlight based framework that allows .net developers to easily visualize any type of…
On August 5th and 6th I led a workshop with Martha Russell on social network analysis of social media as part of the Stanford Media X Summer Institute on New Metrics for New Media: Analytics for Social Media and Virtual Worlds this Summer.
Social media and virtual worlds offer two important frontiers for measuring earned engagement. In both, audiences are actively engaged as participants. This workshop covered foundational concepts in media measurement, describe new frontiers in measuring audience engagement in social media and virtual worlds, and provided hands-on experience in using new analytical tools.
This session also provided a walk through the basic operation of NodeXL, including generation of social networks from social media data sources like personal e-mail (drawing data from the Windows Desktop Search engine) and the Twitter social network micro-blogging system. Arbitrary edge lists (anything that can be pasted into Excel) can be visualized and analyzed in NodeXL. Attendees were encouraged to bring an edge list of interest. Sample data sets were provided.
Agenda WEDNESDAY, August 5: #124 Wallenberg Hall
08.30 – 09.00 – Welcome, Introductions & Overview