| 一种基于聚类技术和蚁群算法的社团发现方法 |
| |
| 引用本文： | 宋智玲,贾小珠. 一种基于聚类技术和蚁群算法的社团发现方法[J]. 青岛大学学报(自然科学版), 2011, 24(2): 55-58,63. DOI: 10.3969/j.issn.1006-1037.2011.02.012 |
| |
| 作者姓名： | 宋智玲 贾小珠 |
| |
| 作者单位： | 青岛大学信息工程学院,山东,青岛,266071 |
| |
| 摘 要： | 如何在复杂网络中自动地发现社团，对于研究复杂网络的结构、功能和行为有着非常重要的意义。在聚类技术的基础上，提出了一种基于蚁群算法识别相似结点的方法，以优化结点的计算性能。
|
| 关 键 词： | 复杂网络 社团发现 蚁群算法 聚类 |
A Method for Detecting Communities Based on Clustering Technology and Ant Colony Algorithm |
| |
| SONG Zhi-ling,JIA Xiao-Zhu. A Method for Detecting Communities Based on Clustering Technology and Ant Colony Algorithm[J]. Journal of Qingdao University(Natural Science Edition), 2011, 24(2): 55-58,63. DOI: 10.3969/j.issn.1006-1037.2011.02.012 |
| |
| Authors: | SONG Zhi-ling JIA Xiao-Zhu |
| |
| Affiliation: | SONG Zhi-ling,JI A Xiao-Zhu(College of Information Engineering,Qingdao University,Qingdao 266071,China) |
| |
| Abstract: | How to discover communities automatically has great significance in the study of structure,function and behavior of complex network.Based on ant colony algorithm to optimize the node computational performance,a new method of identifying similar nodes is provided by using clustering technology. |
| |
| Keywords: | complex network scientific community ant algorithm clustering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
