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Evolving network – simulation study

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  • D. Makowiec

Abstract

The Watts-Strogatz algorithm of transferring the square lattice to a small world network is modified by introducing preferential rewiring constrained by connectivity demand. The evolution of the network is two-step: sequential preferential rewiring of edges controlled by p and updating the information about changes done. The evolving system self-organizes into stationary states. The topological transition in the graph structure is noticed with respect to p. Leafy phase – a graph formed by multiple connected vertices (graph skeleton) with plenty of leaves attached to each skeleton vertex emerges when p is small enough to pretend asynchronous evolution. Tangling phase where edges of a graph circulate frequently among low degree vertices occurs when p is large. There exist conditions at which the resulting stationary network ensemble provides networks which degree distribution exhibit power-law decay in large interval of degrees. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2005

Suggested Citation

  • D. Makowiec, 2005. "Evolving network – simulation study," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 48(4), pages 547-555, December.
    • Handle: RePEc:spr:eurphb:v:48:y:2005:i:4:p:547-555
    DOI: 10.1140/epjb/e2006-00008-2
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