Research Article
Modeling user and topic interactions in social networks using Hawkes processes
@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
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.
Copyright © 2015 J. C. Louzada Pinto, T. Chahed, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
