TY - GEN
T1 - Modeling multi-topic information diffusion in social networks using latent dirichlet allocation and hawkes processes
AU - Pinto, Julio Cesar Louzada
AU - Chahed, Tijani
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - We present in this paper a framework to model information diffusion in social networks based on linear multivariate Hawkes processes and the latent Dirichlet allocation topic model. Our model exploits the effective broadcasting times of information by users and a fuzzy scheme of information dissemination, where users broadcast information as a mixture of different latent topics, guaranteeing thus 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 are coupled together with a modified collapsed Gibbs sampler and a modified variational Bayes method. This allows a more data-driven estimation of hidden influences in social networks.
AB - We present in this paper a framework to model information diffusion in social networks based on linear multivariate Hawkes processes and the latent Dirichlet allocation topic model. Our model exploits the effective broadcasting times of information by users and a fuzzy scheme of information dissemination, where users broadcast information as a mixture of different latent topics, guaranteeing thus 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 are coupled together with a modified collapsed Gibbs sampler and a modified variational Bayes method. This allows a more data-driven estimation of hidden influences in social networks.
KW - Hawkes Processes
KW - Latent Dirichlet Allocation
KW - Nonnegative Matrix Factorization
KW - Social Networks
UR - https://www.scopus.com/pages/publications/84928579739
U2 - 10.1109/SITIS.2014.24
DO - 10.1109/SITIS.2014.24
M3 - Conference contribution
AN - SCOPUS:84928579739
T3 - Proceedings - 10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014
SP - 339
EP - 346
BT - Proceedings - 10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014
A2 - Yetongnon, Kokou
A2 - Dipanda, Albert
A2 - Chbeir, Richard
A2 - Chbeir, Richard
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014
Y2 - 23 November 2014 through 27 November 2014
ER -