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

Pao Sriprasertsuk*, Wataru Kameyama

*この研究の対応する著者

研究成果: Article査読

4 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)608-619
ページ数12
ジャーナルIEICE Transactions on Information and Systems
E92-D
4
DOI
出版ステータスPublished - 2009

ASJC Scopus subject areas

  • ソフトウェア
  • ハードウェアとアーキテクチャ
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学
  • 人工知能

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