A method to prevent deep mining of community structures in complex networks

A technology of community structure and complex network, applied in the field of preventing the community structure in complex network from being deeply excavated, it can solve the problem of lack of information research, achieve good attack effect, and avoid the effect of excessive mining.

Active Publication Date: 2022-04-29
ZHEJIANG UNIV OF TECH
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] In general, there is still little research on how to take relevant measures to counter the continuous improvement of data mining tools and prevent information from being over-mined

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  • A method to prevent deep mining of community structures in complex networks
  • A method to prevent deep mining of community structures in complex networks
  • A method to prevent deep mining of community structures in complex networks

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Embodiment Construction

[0045] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.

[0046] Considering that evolutionary algorithms have been applied in many fields in recent years and have achieved good results, this embodiment aims to solve the following problems in combination with genetic algorithms: under a given attack cost (that is, a certain number of network edge changes) Find the attack strategy that makes the performance of complex network clustering algorithm decrease most significantly, so as to provide guidance for better hiding the relevant community structure information in the network.

[0047] In this embodiment, the dolphin network data...

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Abstract

The present invention provides a method for preventing the community structure in a complex network from being deeply excavated, including the following steps: (1) for a given network, initialize the population according to the set coding mode, and then select the initial population in turn, and cross them, Mutation and elite retention to obtain the optimal individual is the optimal attack strategy of the complex network clustering algorithm; (2) According to the optimal individual, add or delete the corresponding edges in the network, and obtain a new network after disguise to prevent the complex network from attacking. The community structure is precisely excavated. The method for preventing the community structure in the complex network from being deeply excavated by the present invention effectively reduces the performance of the complex network clustering algorithm and ensures the privacy and security of the groups in the network.

Description

technical field [0001] The invention relates to the fields of complex network clustering and evolutionary calculation, in particular to a method for preventing community structures in complex networks from being deeply mined. Background technique [0002] In addition to basic statistical properties such as small-world and scale-free, the community structure existing in many complex networks is also considered to be one of its most important topological properties. The research on complex network clustering algorithms has attracted the attention of many scientists, and a large number of related algorithms have emerged, such as the GN algorithm proposed by Girvan and Newman to iteratively remove the edge with the largest edge betweenness (Reference [1]: Girvan M, Newman M E J.Community structure in social and biological networks[J].Proceedings of the national academy of sciences,2002,99(12):7821-7826. Namely Girvan M,Newman M E J,Social and biological network community structu...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F21/62G06F16/2458G06K9/62G06N3/12G06Q50/00
CPCG06F21/6263G06N3/126G06Q50/01G06F18/23
Inventor 陈晋音陈丽红宣琦陈一贤
Owner ZHEJIANG UNIV OF TECH
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