cs 15(3): e5

Research Article

Modeling user and topic interactions in social networks using Hawkes processes

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  • @ARTICLE{10.4108/icst.valuetools.2014.258186,
        author={Julio Cesar Louzada Pinto and Tijani Chahed},
        title={Modeling user and topic interactions in social networks using Hawkes processes},
        journal={EAI Endorsed Transactions on Cloud Systems},
        volume={1},
        number={3},
        publisher={EAI},
        journal_a={CS},
        year={2015},
        month={2},
        keywords={social networks, hawkes processes, nonnegative matrix factorization},
        doi={10.4108/icst.valuetools.2014.258186}
    }
    
  • Julio Cesar Louzada Pinto
    Tijani Chahed
    Year: 2015
    Modeling user and topic interactions in social networks using Hawkes processes
    CS
    EAI
    DOI: 10.4108/icst.valuetools.2014.258186
Julio Cesar Louzada Pinto1,*, Tijani Chahed1
  • 1: Telecom SudParis
*Contact email: julio.louzada_pinto@telecom-sudparis.eu

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.