Community detecting method and device in bipartite network

Abstract

The invention discloses a community detecting method and a device in a bipartite network. The method comprises the steps as follows: a node set of the bipartite network is obtained, wherein the node set consists of a plurality of communities and the communicates comprise a plurality of nodes of the same type; then the modularity value of the node set is obtained, wherein the modularity value is the sum of differences between all the path lengths of all the nodes belonging to the same type; for any node in each community of the bipartite network, increment of the modularity value of the node set of the bipartite network when moving from a current belonged community to other communities; the community which leads the increment of the modularity value of the node set to be maximum is selected as a newly divided community; and the bipartite network is reconstructed according to the newly divided communities. The invention avoids restrictions of the premise contained in the definition of the modularity value proposed by Barber, and simultaneously takes the weighing information of the sides of the bipartite network into consideration, so as to improve the community detecting efficiency.

Description

technical field [0001] The invention belongs to the field of network technology, and in particular relates to a method and device for detecting communities in a bipartite network. Background technique [0002] With the continuous expansion and growth of networks with complex scales such as the Internet and the World Wide Web, it has become more convenient to obtain data from the World Wide Web. With the help of the World Wide Web, scientists have combined many traditional biological, physical, and social networks such as Gene network, Metabolic network, Electronic network, Neural network, and Social network. ) etc. are digitally stored on the World Wide Web, so that researchers in different research fields can use the computing power of computers to conduct various researches on these large-scale networks. [0003] Scientists also found that many networks exhibit some common features, such as small-world phenomenon, scale-free features, etc. The discovery of these characte...

AI Technical Summary

Problems solved by technology

But the disadvantage of this method is that some useful information will be lost when projecting the bipartite network, and the generated ordinary network is too large

Therefore, the definition of modularity proposed by Barber is not well applicable to the actual network situation.

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