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Minimal spanning tree-based clustering genetic algorithm complex web community mining method

A complex network and community mining technology, applied in genetic models and other directions, can solve problems such as premature convergence of algorithms, affecting algorithm performance, and lack of individual diversity.

Active Publication Date: 2014-04-23
BEIJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

Immature convergence is a phenomenon that cannot be ignored in the genetic algorithm. It is mainly manifested in: all individuals in the group fall into the same extreme value at the early stage of evolution and stop evolving. Early convergence to the local optimal solution affects the overall performance of the algorithm

Method used

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  • Minimal spanning tree-based clustering genetic algorithm complex web community mining method
  • Minimal spanning tree-based clustering genetic algorithm complex web community mining method
  • Minimal spanning tree-based clustering genetic algorithm complex web community mining method

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Embodiment Construction

[0049] Below in conjunction with American political book network (Polbooks network) and flowchart the specific embodiment of the present invention is described in detail

[0050] Step 1, computer initialization, set the following parameters:

[0051] A complex network is represented by G(V,E), V is a collection of nodes v, the number of nodes v in the network is (1,2,...,v,...,V), v∈(1 ,2,...,v,...,V), V is the total number of nodes v, E is the set of edges e, e∈(1,2,...,e,...,E) , E is the total number of sides e;

[0052] Gene, representing a node v;

[0053] Population, represented by Pop, refers to several possible community division results of complex networks. The community method is called community mining method S, s is a division method belonging to S, s∈(1,2,...,s ,...,S), S represents the total number of division methods, any division result is called an individual, represented by Pop(s), and the number of all possible division results is called the population si...

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Abstract

A minimal spanning tree-based clustering genetic algorithm complex web community mining method belongs to the field of complex web community mining technology and is characterized in that the method comprises the following steps: carrying out computer initialization, carrying out population initialization, clustering population by a minimum spanning tree method, carrying out single-point crossover operation, mutation operation and selecting operation on individuals after population clustering, and carrying out iteration for T times so as to obtain the optimum community division of complex networks. Through minimal spanning tree-based clustering of populations and by crossover among populations, population diversity is maintained, and immaturity convergence is inhibited. By crossover operation of excellent individuals in species, probability of searching spaces with better solutions is increased. By selecting a neighbor-node for maximizing local modularity M1 as a variance value, search efficiency of the algorithm is improved.

Description

technical field [0001] The invention belongs to the technical field of complex network community mining, and specifically relates to a new method of using clustering-based genetic algorithms in complex network community mining. The method of community mining is an algorithm about community mining in the complex network field. Background technique [0002] There are a large number of complex systems in various fields such as nature, biology, engineering and human society, and these systems are composed of many interacting subsystems. In research in various fields, subsystems are often abstracted into nodes, and the interaction between subsystems is abstracted into edges between nodes. Then complex systems can be abstracted into the same complex network structure, such as the Internet, World Wide Web, and power grids. , various social networks, food chain networks, protein networks, metabolic networks, etc. Therefore, studying complex networks can reveal common laws hidden i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/12
Inventor 杨新武李瑞薛慧斌
Owner BEIJING UNIV OF TECH
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