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dc.contributor.advisor Edward Fox
dc.contributor.author Kaw, Rushi
dc.contributor.author Subbiah, Rajesh
dc.contributor.author Makkapati, Hemanth
dc.date.accessioned 2012-12-12T04:49:54Z
dc.date.available 2012-12-12T04:49:54Z
dc.date.issued 2012-12-11
dc.identifier.uri http://hdl.handle.net/10919/19089
dc.description.abstract Internet 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.iso en_US en_US
dc.rights Attribution-NonCommercial 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc/3.0/us/ *
dc.subject blogs en_US
dc.subject social media en_US
dc.subject graphs en_US
dc.title CINETGraphCrawl - Constructing graphs from blogs en_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
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