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Based on cluster de-synchronization properties of phase oscillators, weintroduce an efficient method for the detection and identification of modulesin complex networks. The performance of the algorithm is tested on computergenerated and real-world networks whose modular structure is already known orhas been studied by means of other methods. The algorithm attains a high levelof precision, especially when the modular units are very mixed and hardlydetectable by the other methods, with a computational effort ${\cal O}(KN)$ ona generic graph with $N$ nodes and $K$ links.Comment: 5 pages, 2 figures. Version accepted for publication on PRE Rapid  Communications: figures changed and text adde

Detecting complex network modularity by dynamical clustering