SONDY : An Open Source Platform for Social Dynamics Mining and Analysis

Adrien Guille (1) , Cécile Favre (1) , Hakim Hacid (2) , Djamel Abdelkader Zighed (1)

1 ERIC - Equipe de Recherche en Ingénierie des Connaissances
2 Alcatel-Lucent Bell Labs France [Nozay]

This paper describes SONDY, a tool for analysis of trends and dynamics in online social network data. SONDY addresses two audiences: (i) end-users who want to explore social activity and (ii) researchers who want to experiment and compare mining techniques on social data. SONDY helps end-users like media analysts or journalists understand social network users interests and activity by providing emerging topics and events detection as well as network analysis functionalities. To this end, the application proposes visualizations such as interactive time-lines that summarize information and colored user graphs that reflect the structure of the network. SONDY also provides researchers an easy way to compare and evaluate recent techniques to mine social data, implement new algorithms and extend the application without being concerned with how to make it accessible.

Domaines: Traitement du texte et du document; Réseaux sociaux et d'information [cs.SI]

Adrien Guille, Cécile Favre, Hakim Hacid, Djamel Abdelkader Zighed. SONDY : An Open Source Platform for Social Dynamics Mining and Analysis. 2013 ACM SIGMOD International Conference on Management of Data, Jun 2013, New York, United States. pp.1005-1008, ⟨10.1145/2463676.2463694⟩. ⟨hal-00786293v3⟩