Title	Automated Discover and Visualization of Communication Networks from Social Media
Creator	Gruzd, Anatoliy
Contributor	Irving K. Barber Learning Centre
Date Issued	2013
Description	Webcast sponsored by the Irving K. Barber Learning Centre and hosted by the School of Library, Archival, and Information Studies (SLAIS). 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.
Subject	Social media; Online networks; Social networks
Type	Moving Image
Language	eng
Date Available	2013-02-26
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
DOI	10.14288/1.0076727
URI	http://hdl.handle.net/2429/43968
Affiliation	Arts, Faculty of; Library, Archival and Information Studies (SLAIS), School of
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/3.0/
Aggregated Source Repository	DSpace

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Automated Discover and Visualization of Communication Networks from Social Media Gruzd, Anatoliy

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