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Detecting complex network modularity by dynamical clustering

S. Boccaletti, M. Ivanchenko, V. Latora, A. Pluchino, and A. Rapisarda
Phys. Rev. E 75, 045102(R) – Published 12 April 2007

Abstract

Based on cluster desynchronization properties of phase oscillators, we introduce an efficient method for the detection and identification of modules in complex networks. The performance of the algorithm is tested on computer generated and real-world networks whose modular structure is already known or has been studied by means of other methods. The algorithm attains a high level of precision, especially when the modular units are very mixed and hardly detectable by the other methods, with a computational effort O(KN) on a generic graph with N nodes and K links.

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  • Received 19 July 2006

DOI:https://doi.org/10.1103/PhysRevE.75.045102

©2007 American Physical Society

Authors & Affiliations

S. Boccaletti1, M. Ivanchenko2, V. Latora3, A. Pluchino3, and A. Rapisarda3

  • 1CNR-Istituto dei Sistemi Complessi, Via Madonna del Piano, 10, 50019 Sesto Fiorentino (FI), Italy and the Italian Embassy in Tel Aviv, Trade Tower, 25 Hamered Street, Tel Aviv, Israel
  • 2Department of Radiophysics, Nizhny Novgorod University, 23, Gagarin Avenue, 603600 Nizhny Novgorod, Russia
  • 3Dipartimento di Fisica e Astronomia, Università di Catania, and INFN Sezione di Catania, Via S. Sofia, 64, 95123 Catania, Italy

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Issue

Vol. 75, Iss. 4 — April 2007

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