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COMMUNITY SEARCH ALGORITHM BASED ON K-KERNEL

机译:基于K核的社区搜索算法

摘要

A community search algorithm based on a k-kernel comprises: generating a maximum spanning tree (MST) for a map; preprocessing the maximum spanning tree (MST); finding a subtree connected to all query nodes from the maximum spanning tree (MST); and searching to obtain a subtree comprising the query nodes, and returning a maximum K-kernel. By means of the algorithm, the k-kernel comprising a designated node can be found in the time complexity O(T), the value of k is the maximum, and T is the size of a community to be searched for.
机译:一种基于k核的社区搜索算法,包括:为地图生成最大生成树(MST);预处理最大生成树(MST);从最大生成树(MST)中查找连接到所有查询节点的子树;搜索以获得包括查询节点的子树,并返回最大K核。通过该算法,可以在时间复杂度O(T)中找到包含指定节点的k内核,k的值是最大值,T是要搜索的社区的大小。

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