Dynamics of clustered opinions in complex networks
Physics and Society
2008-07-29 v2
Abstract
A simple model for simulating tug of war game as varying the player number in a team is discussed to identify the slow pace of fast change. This model shows that a large number of information sources leads slow change for the system. Also, we introduce an opinion diffusion model including the effect of a high degree of clustering. This model shows that the de facto standard and lock-in effect, well-known phenomena in economics and business management, can be explained by the network clusters.
Keywords
Cite
@article{arxiv.physics/0702108,
title = {Dynamics of clustered opinions in complex networks},
author = {Woo-Sung Jung and Hie-Tae Moon and H. Eugene Stanley},
journal= {arXiv preprint arXiv:physics/0702108},
year = {2008}
}
Comments
11 pages, 2 figures