A new small-world network created by Cellular Automata

Yuhong Ruan and Anwei Li

Physica A: Statistical Mechanics and its Applications, 2016, vol. 456, issue C, 106-111

Abstract: In this paper, we generate small-world networks by the Cellular Automaton based on starting with one-dimensional regular networks. Besides the common properties of small-world networks with small average shortest path length and large clustering coefficient, the small-world networks generated in this way have other properties: (i) The edges which are cut in the regular network can be controlled that whether the edges are reconnected or not, and (ii) the number of the edges of the small-world network model equals the number of the edges of the original regular network. In other words, the average degree of the small-world network model equals to the average degree of the original regular network.

Keywords: Small-world network; Average shortest path length; Clustering coefficient; Cellular Automata (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:456:y:2016:i:c:p:106-111

DOI: 10.1016/j.physa.2016.03.023

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