Assortative degree-mixing patterns inhibit behavioral diversity of a scale-free structured population in high-mutation situations

¹  Adaptive Networks and Control Lab, Department of Electronic Engineering, Fudan University Shanghai 200433, China
²  Department of Automation, DongHua University - Shanghai 201620, China

Corresponding author: lix@fudan.edu.cn

Received: 2 July 2009
Accepted: 14 December 2009

Abstract

This paper addresses the effect of degree-mixing patterns on the behavioral diversity in a scale-free structured population. In a high-mutation situation, a structured population with assortative mixing by degrees inhibits the diversity of collective behaviors as the highly connected individuals are clustered more closely to compose a core group of dominant behaviors. While disassortative mixing patterns barely influence the behavioral diversity of the population. The results are helpful to better understand the evolutionary dynamics of the collective behaviors in a scale-free structured population.