Overlapping community division method based on COPRA

A technology of overlapping communities and nodes, applied in the computer field, can solve problems such as strong randomness, unstable division results, and low accuracy of algorithm results, and achieve the effect of reducing label updates, improving algorithm efficiency, and mining community results.

Pending Publication Date: 2020-05-15
HARBIN ENG UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to propose an overlapping community division method based on COPRA in view of the problems of un

Method used

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  • Overlapping community division method based on COPRA
  • Overlapping community division method based on COPRA
  • Overlapping community division method based on COPRA

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specific Embodiment approach 1

[0059] Specific implementation mode one: refer to figure 2 Specifically illustrate this embodiment, the COPRA-based overlapping community division method described in this embodiment includes the following steps:

[0060] Step 1: Input the number of iterations in the imageless network structure G(V,E), where G represents the network, v represents the nodes in the network, and e represents the edges in the network;

[0061] Step 2: Calculate the node entropy of each node in the network;

[0062] Step 3: Sort the nodes in the network according to the node entropy;

[0063] Step 4: Initialize each node and set a unique label, and set the subordination coefficient to 1;

[0064] Step 5: Select a node and count the labels of its neighbor nodes;

[0065] Step 6: Calculate the membership coefficient of each label;

[0066] Step 7: Determine whether there is a label greater than the threshold, if there is, go to step 8, if not, go to step 14;

[0067] Step 8: keep labels greater t...

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Abstract

The invention discloses an Overlapping community division method based on COPRA, relates to the field of computers, and aims to improve the instability and randomness of a COPRA algorithm in allusionto the problem of low accuracy of an algorithm result caused by an unstable division result and high randomness of a social network division algorithm in the prior art. Firstly, an information entropyconcept is introduced, direct node and indirect node concepts are provided, then node label updating is sorted according to the sum of node entropies by obtaining the node entropies of nodes, and therandomness of label updating is reduced. Then, a label value concept is provided, the subordinate coefficient of the label, the entropy sum of the nodes with the label and the degree of the nodes arecomprehensively considered mainly from the nodes, a label value calculation formula is provided, and the execution process of the algorithm is given. The overlapping community structure in the complex social network can be discovered, the community mining result is good, and the accuracy is high.

Description

technical field [0001] The invention relates to the computer field, in particular to a method for dividing overlapping communities based on COPRA. Background technique [0002] Due to the increasingly large scale of social networks, many traditional community discovery algorithms cannot accurately classify the current community status. In addition, the composition of communities has gradually become more complex, and there are often overlaps between communities. As an excellent algorithm for mining overlapping community structures, the COPRA algorithm has been referenced by scholars for its approximately linear time complexity. [0003] The label propagation algorithm was first proposed in 2002. Its principle is to initialize a label for any node, and then update its own label according to its neighbor nodes. It is believed that the more similar the labels are, the easier it is for the label of the neighbor node to spread. The main idea of ​​the algorithm is: 1. At the beg...

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Application Information

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IPC IPC(8): G06Q50/00
CPCG06Q50/01
Inventor 董宇欣韩瑞费腾王红滨孙孟昊耿士卿
Owner HARBIN ENG UNIV
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