Spectral methods for the detection of network community structure: a comparative analysis
文献类型：期刊论文
| 作者 | Shen, Hua-Wei; Cheng, Xue-Qi |
| 刊名 | JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
 |
| 出版日期 | 2010-10-01 |
| 页码 | 13 |
| 关键词 | analysis of algorithms random graphs networks clustering techniques |
| ISSN号 | 1742-5468 |
| DOI | 10.1088/1742-5468/2010/10/P10020 |
| 英文摘要 | Spectral analysis has been successfully applied to the detection of community structure of networks, respectively being based on the adjacency matrix, the standard Laplacian matrix, the normalized Laplacian matrix, the modularity matrix, the correlation matrix and several other variants of these matrices. However, the comparison between these spectral methods is less reported. More importantly, it is still unclear which matrix is more appropriate for the detection of community structure. This paper answers the question by evaluating the effectiveness of these five matrices against benchmark networks with heterogeneous distributions of node degree and community size. Test results demonstrate that the normalized Laplacian matrix and the correlation matrix significantly outperform the other three matrices at identifying the community structure of networks. This indicates that it is crucial to take into account the heterogeneous distribution of node degree when using spectral analysis for the detection of community structure. In addition, to our surprise, the modularity matrix exhibits very similar performance to the adjacency matrix, which indicates that the modularity matrix does not gain benefits from using the configuration model as a reference network with the consideration of the node degree heterogeneity. |
| 资助项目 | National Natural Science Foundation of China[60873245] ; National Natural Science Foundation of China[60933005] ; National Basic Research Program of China (973)[2007CB310805] |
| WOS研究方向 | Mechanics ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000286466100020 |
| 出版者 | IOP PUBLISHING LTD |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/12101]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Shen, Hua-Wei |
| 作者单位 | Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shen, Hua-Wei,Cheng, Xue-Qi. Spectral methods for the detection of network community structure: a comparative analysis[J]. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT,2010:13. |
| APA | Shen, Hua-Wei,&Cheng, Xue-Qi.(2010).Spectral methods for the detection of network community structure: a comparative analysis.JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT,13. |
| MLA | Shen, Hua-Wei,et al."Spectral methods for the detection of network community structure: a comparative analysis".JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT (2010):13. |
入库方式： OAI收割
来源：计算技术研究所
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