Modeling user and topic interactions in social networks using Hawkes processes

Authors

  • Julio Cesar Louzada Pinto Telecom SudParis
  • Tijani Chahed Telecom SudParis

DOI:

https://doi.org/10.4108/icst.valuetools.2014.258186

Keywords:

social networks, hawkes processes, nonnegative matrix factorization

Abstract

We present in this paper a framework to model information diffusion in social networks based on linear multivariate Hawkes processes. Our model exploits the effective broadcasting times of information by users, which guarantees a more realistic view of the information diffusion process. The proposed model takes into consideration not only interactions between users but also interactions between topics, which provides a deeper analysis of influences in social networks. We provide an estimation algorithm based on nonnegative matrix factorization techniques, which together with a dimensionality reduction argument is able to discover, in addition, the latent community structure of the social network. We also provide several numerical results of our method.

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Published

19-02-2015

How to Cite

[1]
J. Cesar Louzada Pinto and T. Chahed, “Modeling user and topic interactions in social networks using Hawkes processes”, EAI Endorsed Trans Cloud Sys, vol. 1, no. 3, p. e5, Feb. 2015.
J.C. Louzada Pinto, T. Chahed, E. Altman (2016)
A framework for information dissemination in social networks using Hawkes processes. Performance Evaluation, 103, 86.
10.1016/j.peva.2016.06.004