Models of information diffusion in social networks

Éric Gaussier 1, *
* Auteur correspondant
Abstract : Social networks now play a central role for sharing information and discussing different types of events. The way information spreads in such networks has often been compared to the way innovations spread in marketing or viruses spread in populations. As such, two of the more popular information diffusion models, the IC (Independent Cascade) and the LT (Linear Threshold) models, can be seen as instances of the standard SI (Susceptible-Infectious) family used in epidemiology. However, such models usually fail to account for important characteristics of the users sharing and diffusing information in social networks, namely the interest of the users in the information being disseminated and their willingness to diffuse a piece of information. After a presentation of the standard information diffusion models, we will introduce a new generation of models, referred to as "user-centric", which provide a more realistic modeling of how information spreads in social networks. We will furthermore explicit the differences between all these models along several dimensions (relation to percolation, influence maximization problem) and will illustrate the behavior of these models on both synthetic and real datasets.
Type de document :
Communication dans un congrès
Thang Huynh Quyet, Dinh Khang Tran. SoICT 2011 - Symposium on Information and Communication Technology, Oct 2011, Hanoi, Vietnam. ACM, pp.2-2, 2011, <10.1145/2069216.2069218>
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https://hal.archives-ouvertes.fr/hal-00744328
Contributeur : Eric Gaussier <>
Soumis le : lundi 22 octobre 2012 - 17:52:21
Dernière modification le : mardi 28 octobre 2014 - 18:34:51

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Éric Gaussier. Models of information diffusion in social networks. Thang Huynh Quyet, Dinh Khang Tran. SoICT 2011 - Symposium on Information and Communication Technology, Oct 2011, Hanoi, Vietnam. ACM, pp.2-2, 2011, <10.1145/2069216.2069218>. <hal-00744328>

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