Two-population dynamics in a growing network model

被引:0
|
作者
Ivanova, Kristinka [1 ]
Iordanov, Ivan [1 ]
机构
[1] Penn State Univ, Dept Phys, University Pk, PA 16802 USA
关键词
Networks; Complex systems; Rate equation approach; Two-population dynamics; Stable triads; Terror networks;
D O I
10.1016/j.physa.2011.09.037
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We introduce a growing network evolution model with nodal attributes. The model describes the interactions between potentially violent V and non-violent N agents who have different affinities in establishing connections within their own population versus between the populations. The model is able to generate all stable triads observed in real social systems. In the framework of rate equations theory, we employ the mean-field approximation to derive analytical expressions of the degree distribution and the local clustering coefficient for each type of nodes. Analytical derivations agree well with numerical simulation results. The assortativity of the potentially violent network qualitatively resembles the connectivity pattern in terrorist networks that was recently reported. The assortativity of the network driven by aggression shows clearly different behavior than the assortativity of the networks with connections of non-aggressive nature in agreement with recent empirical results of an online social system. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:1811 / 1821
页数:11
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