Defining and detecting the community structure is an important topic on exploring the complex networks.Previous works were mostly based on the so-called modularity method,in which vertices that interconnect to each ot...Defining and detecting the community structure is an important topic on exploring the complex networks.Previous works were mostly based on the so-called modularity method,in which vertices that interconnect to each otherform modules in the network.In many real-world networks,however,vertices are grouped not by their connectivity butby their functions.To demonstrate this idea,we propose a new kind of network,in which the vertices are cataloguedinto several types and are assigned intrinsic fitness.Each type of vertices may satisfy a different fitness distribution.It isfound that the whole network exhibits a multi-scaling degree distribution.The clustering coefficients of the subnetworksare modified by the interlinks between vertices in the subnetworks.展开更多
基金National Natural Science Foundation of China under Grant Nos.10574012 and 10874018
文摘Defining and detecting the community structure is an important topic on exploring the complex networks.Previous works were mostly based on the so-called modularity method,in which vertices that interconnect to each otherform modules in the network.In many real-world networks,however,vertices are grouped not by their connectivity butby their functions.To demonstrate this idea,we propose a new kind of network,in which the vertices are cataloguedinto several types and are assigned intrinsic fitness.Each type of vertices may satisfy a different fitness distribution.It isfound that the whole network exhibits a multi-scaling degree distribution.The clustering coefficients of the subnetworksare modified by the interlinks between vertices in the subnetworks.
