An Evolution Process for Effective Network Topological Compression

TL;DR

This paper introduces an evolutionary process for network topological compression, reducing average distances in complex networks through rewiring, validated across synthetic networks to establish a new paradigm in network dynamics.

Contribution

It proposes a novel evolutionary mechanism for effective network topological compression, advancing the understanding of network dynamics and transformation techniques.

Findings

Effective reduction of average network distance achieved

Validated across various synthetic network models

Establishes a new paradigm in network compression dynamics

Abstract

Network dynamics offers critical insights into the behavior and evolution of complex systems. Here, we focus on the topological dynamics of networks to explore a unique process for reducing the average distance: topological compression. The compression process essentially involves a series of network topological transformations, which can generally be achieved through rewiring technique. This paper proposes an evolutionary mechanism for achieving effective network topological compression and experimentally validates its performance across various synthetic networks. These results establish a paradigm in the field of network topological compression dynamics.