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dc.contributor.advisorEdward Fox
dc.contributor.authorKaw, Rushi
dc.contributor.authorSubbiah, Rajesh
dc.contributor.authorMakkapati, Hemanth
dc.date.accessioned2012-12-12T04:49:54Z
dc.date.available2012-12-12T04:49:54Z
dc.date.issued2012-12-11
dc.identifier.urihttp://hdl.handle.net/10919/19089
dc.description.abstractInternet forums, weblogs, social networks, and photo and video sharing websites are some forms of social media that are at the forefront of enabling communication among individuals. The rich information captured in social media has enabled a variety behavioral research assisting domains such as marketing, finance, public health and governance etc. Furthermore, social media is believed to be capable of providing valuable insights into understanding information diffusion phenomena such as social influence, opinion formation and rumor spread. Here, we propose a semi-automated approach with prototype implementation that constructs interaction graphs to enable such behavioral studies. We construct first and second degree interaction graphs from Stackoverflow, a programming forum, and CNN Political Ticker, a political news blog.en_US
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/us/*
dc.subjectblogsen_US
dc.subjectsocial mediaen_US
dc.subjectgraphsen_US
dc.titleCINETGraphCrawl - Constructing graphs from blogsen_US


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Attribution-NonCommercial 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial 3.0 United States