TY - JOUR
T1 - Information distribution analysis based on human's behavior state model and the small-world network
AU - Sriprasertsuk, Pao
AU - Kameyama, Wataru
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Information distribution
KW - Primary and secondary information distribution
KW - Small-world network
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U2 - 10.1587/transinf.E92.D.608
DO - 10.1587/transinf.E92.D.608
M3 - Article
AN - SCOPUS:77950352377
VL - E92-D
SP - 608
EP - 619
JO - IEICE Transactions on Information and Systems
JF - IEICE Transactions on Information and Systems
SN - 0916-8532
IS - 4
ER -