The Web Science Trust

Semantic Social Network Analysis

Erétéo, Guillaume and Gandon, Fabien and Buffa, Michel and Corby, Olivier (2009) Semantic Social Network Analysis. In: Proceedings of the WebSci'09: Society On-Line, 18-20 March 2009, Athens, Greece. (In Press)

[img] PDF (preprint) - Repository staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
295Kb
[img]
Preview
PDF (Poster Description) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
393Kb
[img]
Preview
PDF (Poster Artwork) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
583Kb

Abstract

Social Network Analysis (SNA) has been widely studied since the middle of the 20th century. Research in this field tries to understand and exploit the key features of social networks in order to manage their life cycle and predict their evolutions. Detecting strategic positions, roles and communities are among its main concerns. The increasingly popular web 2.0 sites form the largest social network. Some researchers apply classical methods from social network analysis (SNA) to such online networks; others provide models to leverage the semantics of their representation. In this paper, we propose to leverage semantic web technologies to merge and exploit the best features of each of these approaches. Furthermore, we show how to facilitate and enhance the analysis of online social networks, exploiting the power of semantic social network analysis.

Item Type:Conference or Workshop Item (Poster)
Uncontrolled Keywords:social network analysis, social data, semantic web, SPARQL extensions
Subjects:Web Science Events > Web Science 2009
ID Code:141
Deposited By: W S T Administrator
Deposited On:24 Jan 2009 08:45
Last Modified:25 Oct 2011 16:37

Repository Staff Only: item control page

EPrints Logo
Web Science Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.