Information Distribution Analysis Based on Human's Behavior State Model and the Small-World Network

Pao SRIPRASERTSUK  Wataru KAMEYAMA 

Publication
IEICE TRANSACTIONS on Information and Systems  Vol.E92-D  No.4  pp.608-619
Publication Date: 2009/04/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Contents Technology and Web Information Systems
Keyword: 
information distributionprimary and secondary information distributionsmall-world network

Full Text: PDF(1.2MB)


Summary: 
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 efficiently the power of information distribution. Our study and simulation results show that the proposed model can be used to analyze and predict the effectiveness of information distribution. Moreover, the study also shows how to use the model parameters to increase power of the distribution.