A comparative study of social network analysis tools
Year: 2010
Type: conference-paper
Abstract: 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.
Source: HAL
Authors: Combe, David, Largeron, Christine, Egyed-Zsigmond, Elod, Géry, Mathias
Institution: Laboratoire Hubert Curien
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2337777796