| 复杂网络社团发现算法研究新进展 |
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| 引用本文： | 骆志刚,丁凡,蒋晓舟,石金龙. 复杂网络社团发现算法研究新进展[J]. 国防科技大学学报, 2011, 33(1): 47-52 |
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| 作者姓名： | 骆志刚 丁凡 蒋晓舟 石金龙 |
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| 作者单位： | 国防科技大学计算机学院; |
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| 基金项目： | 国家自然科学基金资助项目(60673018) |
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| 摘 要： | 社团结构是复杂网络普遍存在的拓扑特性之一,发现复杂网络中的社团结构是复杂网络研究的基础性问题.针对非重叠社团发现和重叠社团发现两类问题,全面综述了当前复杂网络社团发现算法研究的新进展,分析了每类社团发现算法的特点,指出该领域值得进一步探索的研究方向.
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| 关 键 词： | 复杂网络 社团发现算法 重叠社团 |
| 收稿时间： | 2009-11-02 |
New Progress on Community Detection in Complex Networks |
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| LUO Zhigang,DING Fan,JIANG Xiaozhou and SHI Jinlong. New Progress on Community Detection in Complex Networks[J]. Journal of National University of Defense Technology, 2011, 33(1): 47-52 |
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| Authors: | LUO Zhigang DING Fan JIANG Xiaozhou SHI Jinlong |
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| Affiliation: | LUO Zhi-gang,DING Fan,JIANG Xiao-zhou,SHI Jin-long(College of Computer,National Univ.of Defence Technology,Changsha 410073,China) |
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| Abstract: | Community structure is one of the common topological characteristics of complex networks.Community detection has become a fundamental problem in the research field of complex networks.The new progress of current algorithms for community detection was reviewed.The characteristics of these algorithms were discussesed.Finally,future direction of this active area was proposed. |
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| Keywords: | complex networks community detection overlapping commuinty |
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