An examination of a novel information diffusion model: Considering of twitter user and Twitter system features

Keisuke Ikeda, Takeshi Sakaki, Fujio Toriumi, Satoshi Kurihara

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

1 Citation (Scopus)

Abstract

Twitter is a popular microblogging service in Japan. People use the Twitter for communicating with friends, and posting tweet daily life events. In addition, Twitter has also been used in an emergency situation, such as the earthquake. In the East Japan great earthquake disaster, people were using Twitter to get refuge and rescue informations. However, spreading false rumor has become a major social problem. We aim to propose suppression scheme of false rumor. Therefore, we propose a novel multiagent-based information diffusion model to reveal the diffusion mechanism of false rumor in this paper. Our model is to focus on the information diffusion behavior of each Twitter user. We consider three elements of each user, “User’s diversity”, “Life pattern”, and “State transition”. In addition, our model also takes into account multiple of the information path, which is a feature of Twitter. We evaluate the validity of our model.

Original languageEnglish
Title of host publicationAutonomous Agents and Multiagent Systems, IFAAMAS 2016 Workshops, Best Papers, Revised Selected Papers
PublisherSpringer Verlag
Pages180-191
Number of pages12
ISBN (Print)9783319468815
DOIs
Publication statusPublished - 2016 Jan 1
Externally publishedYes
EventInternational Foundation for Autonomous Agents and Multiagent Systems, IFAAMAS 2016 - Singapore, Singapore
Duration: 2016 May 92016 May 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10002 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Foundation for Autonomous Agents and Multiagent Systems, IFAAMAS 2016
CountrySingapore
CitySingapore
Period16/5/916/5/10

Keywords

  • False rumor
  • Information diffusion
  • Twitter

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Ikeda, K., Sakaki, T., Toriumi, F., & Kurihara, S. (2016). An examination of a novel information diffusion model: Considering of twitter user and Twitter system features. In Autonomous Agents and Multiagent Systems, IFAAMAS 2016 Workshops, Best Papers, Revised Selected Papers (pp. 180-191). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10002 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-46882-2_11