Information Diffusion in Online Social Networks: A Survey

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

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

Online social networks play a major role in the spread of information at very large scale. A lot of efforts have been made in order to understand this phenomenon, ranging from popular topic detection to information diffusion modeling, including influential spreaders identification. In this article, we present a survey of representative methods dealing with these issues and propose a taxonomy that summarizes the state-of-the-art. The objective is to provide a comprehensive analysis and guide of existing efforts around information diffusion in social networks. This survey is intended to help researchers in quickly understanding existing works and possible improvements to bring.

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

Adrien Guille, Hakim Hacid, Cécile Favre, Djamel Abdelkader Zighed. Information Diffusion in Online Social Networks: A Survey. SIGMOD record, 2013, 42 (2), pp.17-28. ⟨10.1145/2503792.2503797⟩. ⟨hal-00848050⟩