Dynamic of behavior spread driven by information on weighted networks

DOI

10.2991/iiicec-15.2015.59How to use a DOI?

Keywords

weighted network; behavior spread; individual preference

Abstract

In this paper, a new behavior-spread model is proposed, which incorporate the analysis the degree of closely connects, preference for things, and the reciprocal interaction and collaborative spreading of information and behavior on a weighted networks. Comprehensive consideration for the mutual influences of the timeliness, social reinforcement effect of information, and the degree of closely connect between individuals, individual preference on the behavior spread. The study found that, some properties of the information itself, such as timeless and social reinforcement, have impacts on the scope and speed in the information spreading on the network. And subjective factors, such as the degree of closely connect between individuals and individual preference, mainly affect the behavioral conversion rate and the number of individuals has received the information.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenyu Chen
AU  - Zhen Jia
PY  - 2015/03
DA  - 2015/03
TI  - Dynamic of behavior spread driven by information on weighted networks
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 249
EP  - 255
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.59
DO  - 10.2991/iiicec-15.2015.59
ID  - Chen2015/03
ER  -