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Scale-free networks with a large- to hypersmall-world transition
2007 (English)In: Physica A: Statistical Mechanics and its Applications, ISSN 0378-4371, E-ISSN 1873-2119, Vol. 377, no 1, 315-322 p.Article in journal (Refereed) Published
Abstract [en]

Recently there has been a tremendous interest in models of networks with a power-law distribution of degree-so-called scale-free networks. It has been observed that such networks, normally, have extremely short path-lengths, scaling logarithmically or slower with system size. As an exotic and counterintuitive example we propose a simple stochastic model capable of generating scale-free networks with linearly scaling distances. Furthermore, by tuning a parameter the model undergoes a phase transition to a regime with extremely short average distances, apparently slower than log log N (which we call a hypersmall-world regime). We characterize the degree degree correlation and clustering properties of this class of networks.

Place, publisher, year, edition, pages
2007. Vol. 377, no 1, 315-322 p.
Keyword [en]
complex networks, network analysis, network dynamics, scale-free networks, complex networks, random graphs, internet
Identifiers
URN: urn:nbn:se:kth:diva-16400DOI: 10.1016/j.physa.2006.11.024ISI: 000244359900033OAI: oai:DiVA.org:kth-16400DiVA: diva2:334442
Note
QC 20100525Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2017-12-12Bibliographically approved

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