by David Combe, Christine Largeron, Elod Egyed-Zsigmond, Mathias Géry
Abstract:
Social networks have known an important development since the appearance of web 2.0 platforms. This leads to a growing need for social networkmining and social network analysis (SNA)methods and tools in order to provide deeper analysis of the network but also to detect communities in view of various applications. For this reason, a lot of works have focused on graph characterization or clustering and several new SNA tools have been developed over these last years. The purpose of this article is to compare some of these tools which implement algorithms dedicated to social network analysis.
Reference:
A comparative study of social network analysis tools (David Combe, Christine Largeron, Elod Egyed-Zsigmond, Mathias Géry), In Web Intelligence Virtual Enterprise 2010, volume 2, 2010.
Bibtex Entry:
@inproceedings{Combe2010,
abstract = {Social networks have known an important development since the appearance of web 2.0 platforms. This leads to a growing need for social networkmining and social network analysis (SNA)methods and tools in order to provide deeper analysis of the network but also to detect communities in view of various applications. For this reason, a lot of works have focused on graph characterization or clustering and several new SNA tools have been developed over these last years. The purpose of this article is to compare some of these tools which implement algorithms dedicated to social network analysis.},
author = {Combe, David and Largeron, Christine and Egyed-Zsigmond, Elod and G\'{e}ry, Mathias},
booktitle = {Web Intelligence Virtual Enterprise 2010},
keywords = {benchmark,community detection,social network analysis,tools},
mendeley-tags = {social network analysis,tools},
pages = {1--12},
title = {{A comparative study of social network analysis tools}},
volume = {2},
year = {2010}
}