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A deterministic small-world network created by edge iterations

Zhongzhi Zhang, Lili Rong and Chonghui Guo

Physica A: Statistical Mechanics and its Applications, 2006, vol. 363, issue 2, 567-572

Abstract: Small-world networks are ubiquitous in real-life systems. Most previous models of small-world networks are stochastic. The randomness makes it more difficult to gain a visual understanding on how do different nodes of networks interact with each other and is not appropriate for communication networks that have fixed interconnections. Here we present a model that generates a small-world network in a simple deterministic way. Our model has a discrete exponential degree distribution. We solve the main characteristics of the model.

Keywords: Small-world networks; Disordered systems; Exponential scaling (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:363:y:2006:i:2:p:567-572

DOI: 10.1016/j.physa.2005.08.020

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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