Abstract
Based on cluster de-synchronization 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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