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 Jan 1

Keywords

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

ASJC Scopus subject areas

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

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