A State of the Art on Social Network Analysis and its Applications on a Semantic Web

The increasingly popular web 2.0 sites provide the largest social network ever analyzed - users are now considered as plain web resources. Some researchers apply classical methods of social network analysis to such networks; others provide models to leverage the semantics of their representation. We present a state of the art of these two approaches and propose an architecture to merge and exploit the best features of each.

Keywords

semantic web social network analysis

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Web

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SDoW2008-paper-A-state-of-the-art-on-Social-Network-Analysis-and-its-applications-on-a-semantic-web.pdf (39.38 Ko)

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Guillaume Ereteo : Connect in order to contact the contributor

https://hal.science/hal-00562064

Submitted on : Wednesday, February 2, 2011-4:34:59 PM

Last modification on : Monday, February 26, 2024-11:22:07 AM

Long-term archiving on : Tuesday, May 3, 2011-3:32:06 AM

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hal-00562064 , version 1 (02-02-2011)

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HAL Id : hal-00562064 , version 1

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Guillaume Ereteo, Michel Buffa, Fabien Gandon, Patrick Grohan, Mylène Leitzelman, et al.. A State of the Art on Social Network Analysis and its Applications on a Semantic Web. SDOW2008, 2008, Germany. ⟨hal-00562064⟩

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