Community search algorithm based on k-kernel

A search algorithm and community technology, applied in the field of community search algorithm based on k-core, can solve problems such as high time complexity

Inactive Publication Date: 2015-03-25
SHENZHEN UNIV
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[0008] Although global search and local search have good time complexity, for a given query node, these

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  • Community search algorithm based on k-kernel
  • Community search algorithm based on k-kernel
  • Community search algorithm based on k-kernel

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Embodiment Construction

[0035] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0036] Before carrying out the description of the present invention, the problem to be solved by the present invention is defined earlier, as figure 1 As shown, given an undirected connected graph G=(V,E), and a query point set Q, it is required to find a k-core of G, so that it contains all the nodes in the point set Q, and also satisfies The k value is the largest. that is figure 1 In the graph G shown, find the k-core connecting two black nodes and its k value is the largest.

[0037] In order to solve the above problems, a community search algorithm based on k-kernel is provided, such as figure 1 As shown, first, calculate the kernel value of all nodes in the input graph G; then, assign the smaller value of the kernel value of the endpoint as the weight of each edge; then, generate the maximum spanning tree MST for the weighted graph; ...

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Abstract

The invention discloses a community search algorithm based on a k-kernel. The community search algorithm includes the steps of growing a maximum spanning tree (MST) for an image, preprocessing the MST, finding a subtree for connecting all search nodes from the MST, finding a subtree with the search nodes, and returning the maximum K-kernel. By means of the community search algorithm, the k-kernel with a designated node can be found in the time complexity O(T), the value of k is the maximum, and T represents the size of a community where search needs to be conducted.

Description

technical field [0001] The invention relates to a graph index technology of maximum spanning tree, in particular to a community search algorithm based on k-kernel. Background technique [0002] In recent years, community mining in graphs and social networks has attracted widespread attention, which is also one of the more fundamental problems in graph mining. Most research works only focus on finding out the community structure in the original image. However, in many application scenarios it is of interest to find the communities formed by a given set of nodes. [0003] The community search problem based on a given node is defined as: Given an undirected connected graph G and a point set Q in the graph, find a k-core of G so that it contains all nodes in the given node set Q and Its k value is the largest. [0004] For this problem, a simple greedy algorithm can find qualified communities in polynomial time (see reference [1] for details); global search algorithm (global ...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/00G06F16/9027G06Q50/01
Inventor 李荣华廖凯华毛睿蔡涛涛韦元秦璐
Owner SHENZHEN UNIV
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