The process of coevolutionary competitive exclusion: speciation, multifractality and power-laws in correlation

TL;DR

This paper models coevolutionary competitive exclusion, demonstrating how it leads to speciation, multifractality, and power-law correlations in complex networks through self-organized dynamics.

Contribution

It introduces a self-organized coevolutionary model linking competitive exclusion to emergent power-law and multifractal properties in networks.

Findings

Power-law topological correlations emerge in networks.

Speciation and evolutionary branching occur spontaneously.

Multifractality and ranking are observed in node states.

Abstract

Competitive exclusion, a key principle of ecology, can be generalized to understand many other complex systems. Individuals under surviving pressure tend to be different from others, and correlations among them change correspondingly to the updating of their states. We show with numerical simulation that these aptitudes can contribute to group formation or speciation in social fields. Moreover, they can lead to power-law topological correlations of complex networks. By coupling updating states of nodes with variation of connections in a network, structural properties with power-laws and functions like multifractality, spontaneous ranking and evolutionary branching of node states can emerge out simultaneously from the present self-organized model of coevolutionary process.