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.
%0 Conference Paper
%1 sa08sem
%A Ereteo, Guillaume
%A Gandon, Fabien
%A Buffa, Michel
%A Grohan, Patrick
%A Leitzelman, Mylène
%A Sander, Peter
%D 2008
%K analyzing basics semantic socialnetwork
%T A State of the Art on Social Network Analysis and its Applications on a Semantic Web
%U http://CEUR-WS.org/Vol-405/paper5.pdf
@inproceedings{sa08sem,
added-at = {2009-01-25T11:52:21.000+0100},
author = {Ereteo, Guillaume and Gandon, Fabien and Buffa, Michel and Grohan, Patrick and Leitzelman, Mylène and Sander, Peter},
biburl = {https://www.bibsonomy.org/bibtex/2759ba7923c95632d45a022d3d92b0a19/boehr},
crossref = {CEUR-WS.org/Vol-405},
description = {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.},
interhash = {50f2db7b2dea54acfb48e50cd0a96c42},
intrahash = {759ba7923c95632d45a022d3d92b0a19},
keywords = {analyzing basics semantic socialnetwork},
timestamp = {2009-01-25T11:52:21.000+0100},
title = {A State of the Art on Social Network Analysis and its Applications on a Semantic Web},
url = {http://CEUR-WS.org/Vol-405/paper5.pdf},
year = 2008
}