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Inferences of Social and Spatial Communities over the World Wide Web

  • Pragya Agarwal
  • Roderic Béra
  • Christophe Claramunt
Chapter
Part of the Advanced Information and Knowledge Processing book series (AI&KP)

The research presented in this chapter introduces a graph-based and computational modeling approach to the analysis of Web-based networks. The aim is to derive a social network and compute its emerging spatial and thematic properties from the semantics embedded in a series of Web pages. We apply several graph-based operators and complement them with thematic, spatial and similarity operators. The principles of the modeling approach are applied to the study of research communities as they appear over the World Wide Web. This allows us to infer the degree of correlation between the different properties of the semantic networks that emerge from research communities on the World Wide Web.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Pragya Agarwal
    • 1
  • Roderic Béra
    • 1
  • Christophe Claramunt
    • 2
  1. 1.Department of Geomatic EngineeringUniversity College LondonLondonUK
  2. 2.Naval Academy Research InstituteBrestFrance

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