基于社区核的多标签社区发现算法

Xiao Han, Yun Liu, Zhen-Jiang Zhang, Jian Li, Fei Xiong
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引用次数: 1

摘要

本文的主要研究内容是研究和设计一种可行的针对重叠社区网络的多标签社区发现算法。该算法时间复杂度低,可以方便地实现重叠社区发现。通过实验验证该算法的可行性和效果,从时间和数据集中的分类结果两方面将该多标签社区发现算法与部分现有社区发现算法进行比较,证实了该社区发现算法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-label community discovery algorithm based on the community kernel
The main research content is to study and design a feasible multi-label community discovery algorithm for the overlapping community network in this article. This community discovery algorithm has low time complexity, and can conveniently realize the overlapping community discovery. Through the experiment to verify the feasibility and effect of this algorithm, compared this multi-label community discovery algorithm with part of the existing community discovery algorithm from two aspects in time and the classification results in the data sets, confirm the feasibility of this community discovery algorithm.
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