Abstract: A large number of complex systems in nature can be described by complex networks.Community structure is the most important feature of complex networks following the small-world and scale-free features.Community detecting is very important for understanding the macroscopic topology structure of Internet.Aimed at the structure features of the macroscopic topology of Internet,based on link clustering method,we proposed a community detecting algorithm which redefines link similarity with routing features to transform the link clustering process.It gives a better community structure in Internet macroscopic topology.It is further applied into other networks of different types by using link betweenness instead of link frequency,and better community structure can be gotten.

Key words: Complex network,Community detecting,Routing features,Internet macroscopic topology