Semantic Social Network Analysis: A Concrete Case

Abstract : In this chapter we present our approach to analyzing such semantic social networks and capturing collective intelligence from collaborative interactions to challenge requirements of Enterprise 2.0. Our tools and models have been tested on an anonymized dataset from Ipernity.com, one of the biggest French social web sites centered on multimedia sharing. This dataset contains over 60,000 users, around half a million declared relationships of three types, and millions of interactions (messages, comments on resources, etc.). We show that the enriched semantic web framework is particularly well-suited for representing online social networks, for identifying their key features and for predicting their evolution. Organizing huge quantity of socially produced information is necessary for a future acceptance of social applications in corporate contexts.
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Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena, IGI Global, pp.122-156, 2011, 〈10.4018/978-1-60960-040-2.ch007〉
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Guillaume Ereteo, Freddy Limpens, Fabien Gandon, Olivier Corby, Michel Buffa, et al.. Semantic Social Network Analysis: A Concrete Case. Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena, IGI Global, pp.122-156, 2011, 〈10.4018/978-1-60960-040-2.ch007〉. 〈hal-00562056〉

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