Connectivity inferences over the web for the analysis of semantic networks

Authors:
Roderic Béra;Christophe Claramunt
Affiliations:
Department of Geomatic Engineering, University College, London, UK;Naval Academy Research Institute, Lanvéoc-Poulmic, Brest Naval, France
Venue:
W2GIS'05 Proceedings of the 5th international conference on Web and Wireless Geographical Information Systems
Year:
2005

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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.