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Modeling user and topic interactions in social networks using Hawkes processes

  • Institut Mines-Télécom

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2014
PublisherICST
Pages58-65
Number of pages8
ISBN (Electronic)9781631900570
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event8th International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2014 - Bratislava, Slovakia
Duration: 9 Dec 201411 Dec 2014

Publication series

NameProceedings of the 8th International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2014

Conference

Conference8th International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2014
Country/TerritorySlovakia
CityBratislava
Period9/12/1411/12/14

Keywords

  • Hawkes processes
  • Nonnegative matrix factorization
  • Social networks

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