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The media files for this episode are hosted on another site. Download the video here. Download the audio here.

Automated Analysis of Information and Social Networks from Social Media Data

Anatoliy Gruzd, Dalhousie University, gives a talk for the Oxford Internet Institute.
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. The presentation will explore automated ways to discover and analyze various information and social networks from social media data.

Episode Information

People
Anatoliy Gruzd
Keywords
social media
visualisation
big data
information
web 2.0
collaboration
community
collective action
machine
social networks
automated analysis
internet
automation
data
networks
Department: 
Date Added: 06/11/2012
Duration: 00:58:06

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