Information diffusion in online social networks: a survey

Authors:
Adrien Guille;Hakim Hacid;Cecile Favre;Djamel A. Zighed
Affiliations:
ERIC Lab, Lyon 2 University, France;Bell Labs France, Alcatel-Lucent, France;ERIC Lab, Lyon 2 University, France;ERIC Lab, Lyon 2 University, France and Institute of Human Science, Lyon 2 University, France
Venue:
ACM SIGMOD Record
Year:
2013

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Abstract

Online social networks play a major role in the spread of information at very large scale. A lot of effort 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.