Connectivity inferences over the web for the analysis of semantic networks
by Roderic Bera, Christophe Claramunt
International Journal of Web Engineering and Technology (IJWET), Vol. 3, No. 2, 2007

Abstract: The World Wide Web constitutes a large information space and a promising support for the development of data inference, analysis and mining mechanisms. The research presented in this paper introduces a modelling approach that derives a social network and computes some of its emerging properties, from the semantics exhibited from a domain knowledge embedded in a series of web pages. The framework is applied to the research communities related to a series of conferences in a given domain, and the university connections materialised by the researcher trajectories over time. The properties of the social network are analysed using graph-based measures, and a novel geographical dispersion coefficient.

Online publication date: Mon, 15-Jan-2007

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