Inferring social influence and meme interaction with Hawkes processes

Chuan Luo, Xiaolong Zheng, Dajun Zeng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Revealing underlying social influence among users in social media is critical to understanding how users interact, on which a lot of security intelligence applications can be built. Existing methods fail to take into account the interaction relationships among memes. In this paper, we propose to simultaneously model social influence and meme interaction in information diffusion with novel multidimensional Hawkes processes. Experimental results on both synthetic and real world social media data show the efficacy of the proposed approach.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Intelligence and Security Informatics
Subtitle of host publicationSecuring the World through an Alignment of Technology, Intelligence, Humans and Organizations, ISI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages135-137
Number of pages3
ISBN (Electronic)9781479998883
DOIs
StatePublished - Jul 23 2015
Event13th IEEE International Conference on Intelligence and Security Informatics, ISI 2015 - Baltimore, United States
Duration: May 27 2015May 29 2015

Other

Other13th IEEE International Conference on Intelligence and Security Informatics, ISI 2015
CountryUnited States
CityBaltimore
Period5/27/155/29/15

Keywords

  • Hawkes process
  • information diffusion
  • social influence
  • social media

ASJC Scopus subject areas

  • Artificial Intelligence
  • Law
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

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