Universal scaling of distances in complex networks

Janusz A. Hołyst, Julian Sienkiewicz, Agata Fronczak, Piotr Fronczak, and Krzysztof Suchecki
Phys. Rev. E 72, 026108 – Published 8 August 2005

Abstract

Universal scaling of distances between vertices of Erdős-Rényi random graphs, scale-free Barabási-Albert models, science collaboration networks, biological networks, Internet Autonomous Systems and public transport networks are observed. A mean distance between two nodes of degrees ki and kj equals to lij=ABlog(kikj). The scaling is valid over several decades. A simple theory for the appearance of this scaling is presented. Parameters A and B depend on the mean value of a node degree knn calculated for the nearest neighbors and on network clustering coefficients.

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  • Received 5 November 2004

DOI:https://doi.org/10.1103/PhysRevE.72.026108

©2005 American Physical Society

Authors & Affiliations

Janusz A. Hołyst, Julian Sienkiewicz, Agata Fronczak, Piotr Fronczak, and Krzysztof Suchecki

  • Faculty of Physics and Center of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, PL-00-662 Warsaw, Poland

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Issue

Vol. 72, Iss. 2 — August 2005

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