Based on cluster desynchronization properties of phase oscillators, we introduce an efficient method for thedetection 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 bymeans 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
2007-01-01
Abstract
Based on cluster desynchronization properties of phase oscillators, we introduce an efficient method for thedetection 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 bymeans 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.File in questo prodotto:
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BOCCALETTI ET AL PHYS REV E 75 (2007) 045102.pdf
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