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Web Science 2.0: Identifying Trends Through Semantic Social Network Analysis
Peter Gloor Massachusetts Institute of Technology (MIT) Jonas S. Krauss University of Northwestern Switzerland Stefan Nann University of Northwestern Switzerland Kai Fischbach University of Cologne; MIT Center for Collective Intelligence Detlef Schoder University of Cologne November 11, 2008 Abstract: We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new trends. These algorithms have been implemented in Condor, a software system for predictive search and analysis of the Web and especially social networks.We illustrate our approach by qualitatively comparing Web buzz and our Web betweenness for the 2008 US presidential elections, as well as correlating the Web buzz index with share prices.
Keywords: trend prediction,social network analysis,semantic analysis JEL Classifications: O31 Working Paper SeriesDate posted: November 16, 2008 ; Last revised: January 06, 2009Suggested CitationContact Information
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