Temporal and structural heterogeneities emerging in adaptive temporal networks

TL;DR

This paper presents a model of adaptive temporal networks demonstrating how temporal and structural heterogeneities naturally emerge from the interplay of node activity and information exchange, aiding understanding of human interaction dynamics.

Contribution

The paper introduces a theoretically tractable model that explains the spontaneous emergence of heterogeneities in adaptive temporal networks.

Findings

Heterogeneities emerge from homogeneous initial states

The model captures key features of real-world networks

Provides insights into human activity and interaction dynamics

Abstract

We introduce a model of adaptive temporal networks whose evolution is regulated by an interplay between node activity and dynamic exchange of information through links. We study the model by using a master equation approach. Starting from a homogeneous initial configuration, we show that temporal and structural heterogeneities, characteristic of real-world networks, spontaneously emerge. This theoretically tractable model thus contributes to the understanding of the dynamics of human activity and interaction networks.