A comparative study of social network analysis tools

نویسندگان

  • David Combe
  • Christine Largeron
  • Elod Egyed-Zsigmond
  • Mathias Géry
  • Előd Egyed-Zsigmond
چکیده

Social networks have known an important development since the appearance of web 2.0 platforms. This leads to a growing need for social network mining 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.

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تاریخ انتشار 2010