Automated Analysis of Information and Social Networks from Social Media Data

Synopsis: Video podcast from the University of Oxford Internet Institute given by Anatoliy Gruzd, Dalhousie University. 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 explores automated ways to discover and analyse information and social networks from social media data. [58 mins.].
Series: Oxford Internet Institute
Language: English
Country: Great Britain
Year of release: 2012
Year of production: 2012
Notes: The OII is a leading world centre for multidisciplinary research and teaching on the social factors that are shaping the Internet, and their implications for society.
Subjects: Information technology
Keywords: analytical techniques; Information and communications technology; Internet; social media

URI: http://podcasts.ox.ac.uk/automated-analysis-information-and-social-networks-social-media-data
Price: Free
Delivery: Streamed/Download

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