%0 Journal Article
%T Information Diffusion in Online Social Networks: A Survey
%+ Equipe de Recherche en Ingénierie des Connaissances (ERIC)
%+ Alcatel-Lucent Bell Labs France [Nozay]
%A Guille, Adrien
%A Hacid, Hakim
%A Favre, Cécile
%A Zighed, Djamel Abdelkader
%< avec comité de lecture
%Z ERIC:13-014
%@ 0163-5808
%J SIGMOD record
%I ACM
%V 42
%N 2
%P 17-28
%8 2013-06-21
%D 2013
%R 10.1145/2503792.2503797
%Z Computer Science [cs]/Modeling and Simulation
%Z Computer Science [cs]/Social and Information Networks [cs.SI]
%Z Computer Science [cs]/Document and Text ProcessingJournal articles
%X 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.
%G English
%2 https://hal.science/hal-00848050/document
%2 https://hal.science/hal-00848050/file/survey.pdf
%L hal-00848050
%U https://hal.science/hal-00848050
%~ UNIV-LYON2
%~ ERIC
%~ TDS-MACS
%~ LABEXIMU
%~ UDL