Structural properties of the synchronized cluster on complex networks

Yup Kim, Yongjin Ko, and Soon-Hyung Yook
Phys. Rev. E 81, 011139 – Published 29 January 2010

Abstract

We investigate how the largest synchronized connected component (LSCC) is formed and evolves to achieve a global synchronization on complex networks using Kuramoto model. In this study we use two different networks, Erdösi-Rényi network and Barabási-Albert network. From the finite-size scaling analysis, we find that the scaling exponents for the percolation order parameter and mean cluster size on both networks agree with the mean-field percolation theory, β=γ=1. We also find that the finite-size scaling exponent, ν¯, also agrees with the mean-field percolation result, ν¯=3. Moreover, we also show that the cluster size distributions are identical with the mean-field percolation distribution on both networks. Combining with the analysis for the merging clusters, we directly show that the LSCC on both networks evolves by merging clusters of various sizes.

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  • Received 13 October 2008

DOI:https://doi.org/10.1103/PhysRevE.81.011139

©2010 American Physical Society

Authors & Affiliations

Yup Kim*, Yongjin Ko, and Soon-Hyung Yook

  • Department of Physics and Research Institute for Basic Sciences, Kyung Hee University, Seoul 130-701, Korea

  • *ykim@khu.ac.kr
  • syook@khu.ac.kr

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Vol. 81, Iss. 1 — January 2010

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