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 OKN on a generic graph with N nodes and K links.

Detecting complex network modularity by dynamical clustering

LATORA, Vito Claudio;PLUCHINO, ALESSANDRO;RAPISARDA, Andrea
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 OKN on a generic graph with N nodes and K links.
Networks; Dynamical systems; Synchronization; Teoria delle reti; Sistemi dinamici; Sincronizzazione
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/6575
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