Community discovery method used for complex network

A community discovery and complex network technology, applied in the field of network community discovery algorithm based on node asymmetric transition probability

Inactive Publication Date: 2018-05-08
WUHAN UNIV
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Problems solved by technology

[0006] The present invention mainly solves the technical problems existing in the prior art, etc.; provides a network community detection algorithm based on asymmetric transfer probability of nodes (CDATP) for the existing community discovery In view of the shortcomings of the algorithm, a new node transition probability measurement method and a community division method based on event propagation rules are proposed. On the one ha

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  • Community discovery method used for complex network
  • Community discovery method used for complex network
  • Community discovery method used for complex network

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[0055] 1. First, introduce the overall framework of the CDATP of the present invention.

[0056] figure 1 The overall framework of CDATP for community detection is described. The input data set includes complex social networks such as social networks, and the output result is a community sequence. The framework consists of the following two parts:

[0057] (1) Find the sub-attribute space with the best performance in the subspace construction stage, and convert the corresponding attributes into virtual nodes in the network to construct an attribute-enhanced network;

[0058] (2) In the community division stage, the node transition probability is calculated with the attribute-enhanced network as the object, and the node core coefficient is evaluated using the randomwalk method. On this basis, the clustering direction of each node is determined, an initial community is created, and then edge pruning is performed. Finally output the community sequence.

[0059] Second, the sub...

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Abstract

The invention puts forward a community discovery method used for a complex network. An algorithm designs a node transition probability through the analysis of a network topology structure, the significance of the node for the network community is evaluated on the basis of a random walk method, then, the node with the high significance is taken as a core to construct the network community, and finally, a community structure is regulated through a community edge trimming method. Compared with an existing method based on random walk, CDATP (Community Detection Algorithm Based on Asymmetric Transfer Probability of Nodes) exhibits the node design transition probability in the network, and the degree of importance of the node for the community is evaluated through the local transition of the node.

Description

technical field [0001] The invention relates to the fields of computer science and social network, and proposes a network community detection algorithm based on asymmetric transfer probability of nodes (CDATP). Aiming at the drawbacks of existing community discovery algorithms, a new node transition probability measurement method and a community division method based on event propagation rules are proposed. Background technique [0002] In recent years, the community structure ubiquitous in the network has received extensive attention from scholars at home and abroad. The research on community discovery has also been applied to many fields and achieved good results. [0003] Using random walk for community discovery is one of the more mainstream research methods. Random walk is a method based on the Markov model. Its main idea is to release a large number of random walkers with an initial distribution. After the diffusion process, the distribution function of the walkers c...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/23G06F18/2321
Inventor 胡文斌许平华邱振宇高旷唐传慧刘中舟
Owner WUHAN UNIV
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