Automated Analysis of Information and Social Networks From Social Media Data: A Talk At The Oxford Internet Institute, University of Oxford

As social creatures, our online lives, just like our offline lives are intertwined with others within a wide variety of social networks. Each retweet on Twitter, comment on a blog or link to a Youtube video explicitly or implicitly connects one online participant to another and contributes to the formation of various information and social networks. Once discovered, these networks can provide researchers with an effective mechanism for identifying and studying collaborative processes within any online community. However, collecting information about online networks using traditional methods such as surveys can be very time consuming and expensive.

This talk at the Oxford Internet Institute, University of Oxford by Dr. Anatoliy Gruzd, Director of the Dalhousie Social Media Lab, will explore automated ways to discover and analyze various information and social networks from social media data, including a brief demonstration of Netlytic, a web-based system for automated text analysis and the discovery of social networks from electronic communications such as online forums, SMS, microblog messages (Twitter), blog comments and chat logs. The talk is scheduled for Tuesday September 18, 2012 16:00 – 17:00. Please email your name and affiliation to [email protected] or telephone +44 (0)1865 287209 to register.