Web Science 2.0 : Identifying Trends Through Semantic Social Network Analysis

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

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Year of publication:	[2014]
Authors:	Gloor, Peter A.
Other Persons:	Krauss, Jonas S. (contributor) ; Nann, Stefan (contributor) ; Fischbach, Kai (contributor) ; Schoder, Detlef (contributor)
Publisher:	[2014]: [S.l.] : SSRN

Extent:	1 Online-Ressource (32 p)
Type of publication:	Book / Working Paper
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments November 11, 2008 erstellt
Other identifiers:	10.2139/ssrn.1299869 [DOI]
Classification:	O31 - Innovation and Invention: Processes and Incentives
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012708641