关键词: 社团结构, 信号传递, 层次聚类, 模块度

Abstract: Community is one of important characters in social networks and community detecting is also a fashionable statement recently.In this paper，based on signaling process on complex networks，influence vectors of each node are got，topological structure of each node is translated into geometrical relationships of vectors in algebra spaces，and by the aid of hierarchical clustering modularity method，communities are detected effectively.With data simulations on the Zachary Karate Club network，College Football network and Dolphin social network，it shows that the proposed algorithm in this topic is more accurate than Newman’s.

Key words: community structure, signal process, hierarchical clustering, modularity