On the properties of small-world network models
A. Barrat, M. Weigt

TL;DR
This paper analyzes the properties of small-world networks introduced by Watts and Strogatz, combining analytical and numerical methods to understand their geometrical features, evolution, and phase transition behavior.
Contribution
It provides a detailed characterization of small-world network properties and their evolution, including the impact of finite disorder on phase transitions, supported by analytical and numerical evidence.
Findings
Any finite disorder induces small-world behavior in large enough networks.
There is a crossover from regular lattice to small-world structure as disorder increases.
A finite-temperature ferromagnetic phase transition occurs at finite disorder.
Abstract
We study the small-world networks recently introduced by Watts and Strogatz [Nature {\bf 393}, 440 (1998)], using analytical as well as numerical tools. We characterize the geometrical properties resulting from the coexistence of a local structure and random long-range connections, and we examine their evolution with size and disorder strength. We show that any finite value of the disorder is able to trigger a ``small-world'' behaviour as soon as the initial lattice is big enough, and study the crossover between a regular lattice and a ``small-world'' one. These results are corroborated by the investigation of an Ising model defined on the network, showing for every finite disorder fraction a crossover from a high-temperature region dominated by the underlying one-dimensional structure to a mean-field like low-temperature region. In particular there exists a finite-temperature…
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Mental Health Research Topics
