Modeling user and topic interactions in social networks using Hawkes processes

Julio Cesar Louzada Pinto, Tijani Chahed
2015 Proceedings of the 8th International Conference on Performance Evaluation Methodologies and Tools  
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
more » ... ide 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.
doi:10.4108/icst.valuetools.2014.258186 dblp:conf/valuetools/PintoC14 fatcat:6zgy4pga2fhqrer6aapd7xroli