Information distribution analysis based on human's behavior state model and the small-world network

Pao Sriprasertsuk, Wataru Kameyama

    Research output: Contribution to journalArticle

    4 Citations (Scopus)

    Abstract

    In this paper, an information distribution model based on human's behavior is proposed. We also propose dynamic parameters to make the model more practical for real life social network. Subsequently, the simulations are conducted based on the small-world network and its characteristics, and the parameters in the model are analyzed to increase e.ciently the power of information distribution. Our study and simulation results show that the proposed model can be used to analyze and predict the e.ectiveness of information distribution. Moreover, the study also shows how to use the model parameters to increase power of the distribution.

    Original languageEnglish
    Pages (from-to)608-619
    Number of pages12
    JournalIEICE Transactions on Information and Systems
    VolumeE92-D
    Issue number4
    DOIs
    Publication statusPublished - 2009

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    Small-world networks

    Keywords

    • Information distribution
    • Primary and secondary information distribution
    • Small-world network

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Software
    • Artificial Intelligence
    • Hardware and Architecture
    • Computer Vision and Pattern Recognition

    Cite this

    Information distribution analysis based on human's behavior state model and the small-world network. / Sriprasertsuk, Pao; Kameyama, Wataru.

    In: IEICE Transactions on Information and Systems, Vol. E92-D, No. 4, 2009, p. 608-619.

    Research output: Contribution to journalArticle

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