Scale-Free Growing Networks and Gravity

TL;DR

This paper explores a novel connection between complex networks and gravity, using power-law degree distributions and information theory to bridge geometric structures and probabilistic network models.

Contribution

It introduces a theoretical framework linking the mathematical structures of gravitational theories with the probabilistic nature of complex networks.

Findings

Proposes a relation between network degree distributions and gravity.

Suggests geometric structures in gravity can be applied to network theory.

Establishes a bridge for transferring concepts between gravity and networks.

Abstract

We propose a possible relation between complex networks and gravity. Our guide in our proposal is the power-law distribution of the node degree in network theory and the information approach to gravity. The established bridge may allow us to carry geometric mathematical structures, which are considered in gravitational theories, to probabilistic aspects studied in the framework of complex networks and vice versa.