| 社会性标签系统的k-派系社团发现的研究 |
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| 作者单位： | 郑州大学信息管理系 |
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| 摘 要： | 社会性标签系统是一种新的信息组织和资源分类方式,呈现明显的复杂网络特性,存在许多相互重叠的社团结构,本文分析了社会性标签系统中不同主体的社团结构,并且利用社团发现算法挖掘系统中k-派系社团。
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| 关 键 词： | 社会性标签 复杂网络 k-派系 k-派系社团 |
Research on Discovering k-Clique Community of Social Tags System |
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| Authors: | LU Xiao-ming |
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| Abstract: | The social tags system is a new way of information organization and resource classification,presenting obvious complicated network characteristic and having many overlap community structure.This article has analyzed the different community structure in the social tags system,and discovered k-clique community in system using the algorithm of finding k-clique community. |
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| Keywords: | social tags system complex network k-clique k-clique community |
| 本文献已被 CNKI 等数据库收录！ |
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