An Evolution Process for Effective Network Topological Compression

Fuente: arXiv
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Auteurs principaux: Li, Jian-Hui, Yu, Zu-Guo, Tian, Yu-Chu
Format: Preprint
Publié: 2025
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author Li, Jian-Hui
Yu, Zu-Guo
Tian, Yu-Chu
author_facet Li, Jian-Hui
Yu, Zu-Guo
Tian, Yu-Chu
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2508_04029
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle An Evolution Process for Effective Network Topological Compression
Li, Jian-Hui
Yu, Zu-Guo
Tian, Yu-Chu
General Topology
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.
title An Evolution Process for Effective Network Topological Compression
topic General Topology
url https://arxiv.org/abs/2508.04029