Multi-agent information diffusion model for Twitter

Keisuke Ikeda, Yoshiyuki Okada, Fujio Toriumi, Takeshi Sakaki, Kazuhiro Kazama, Itsuki Noda, Kosuke Shinoda, Hirohiko Suwa, Satoshi Kurihara

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

4 Citations (Scopus)

Abstract

During the 2011 East Japan Great Earthquake Disaster, many people used social media such as Twitter to get important information for their lives. But, generally, social media also has bad side, that is wrong information diffusion problem. In this paper, we will propose a novel multiagent-based information diffusion model, the Agent-based Information Diffusion Model (AIDM), and evaluate it. Up to now, our previous model is based on the SIR model, which is famous as a diffusion model of infection. The SIR model is represented by the stochastic state transition model for whether to propagate the information, and its transition probability is defined as the same value for all agents. However, people's thinking or actions are not the same. To make person's character heterogeneously, we adopted two elements in our proposal model: user diversity and multiplexing of information paths. From a comparison evaluation, it is shown that the proposed model basically to reproduce the information diffusion as same as the diffusion of real data.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014
EditorsDominik Slezak, Hung Son Nguyen, Marek Reformat, Eugene Santos
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages21-26
Number of pages6
ISBN (Electronic)9781479941438
DOIs
Publication statusPublished - 2014 Oct 16
Event2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014 - Warsaw, Poland
Duration: 2014 Aug 112014 Aug 14

Publication series

NameProceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014
Volume1

Other

Other2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014
CountryPoland
CityWarsaw
Period14/8/1114/8/14

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software

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  • Cite this

    Ikeda, K., Okada, Y., Toriumi, F., Sakaki, T., Kazama, K., Noda, I., Shinoda, K., Suwa, H., & Kurihara, S. (2014). Multi-agent information diffusion model for Twitter. In D. Slezak, H. S. Nguyen, M. Reformat, & E. Santos (Eds.), Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014 (pp. 21-26). (Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WI-IAT.2014.12