Social power and opinion formation in complex networks

被引:105
作者
Jalili, Mandi [1 ]
机构
[1] Sharif Univ Technol, Dept Comp Engn, Tehran, Iran
关键词
Complex networks; Social networks; Dynamic opinion formation; Consensus; Social power; BOUNDED CONFIDENCE; DYNAMICS; MODELS; GAME;
D O I
10.1016/j.physa.2012.10.013
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In this paper we investigate the effects of social power on the evolution of opinions in model networks as well as in a number of real social networks. A continuous opinion formation model is considered and the analysis is performed through numerical simulation. Social power is given to a proportion of agents selected either randomly or based on their degrees. As artificial network structures, we consider scale-free networks constructed through preferential attachment and Watts-Strogatz networks. Numerical simulations show that scale-free networks with degree-based social power on the hub nodes have an optimal case where the largest number of the nodes reaches a consensus. However, given power to a random selection of nodes could not improve consensus properties. Introducing social power in Watts Strogatz networks could not significantly change the consensus profile. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:959 / 966
页数:8
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