＜正＞ In this paper,we propose a new method that enables us to detect and describe the functional modules incomplex networks.Using the proposed method,we can classify the nodes of networks into different modules accordingto their pattern of intra- and extra-module links.We use our method to analyze the modular structures of the ERrandom networks.We find that different modules of networks have different structure properties,such as the clusteringcoefficient.Moreover,at the same time,many nodes of networks participate different modules. Remarkably,we findthat in the ER random networks,when the probability p is small,different modules or different roles of nodes can beidentified by different regions in the c-p parameter space.
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