Evaluating accuracy of community detection using the relative normalized mutual information
文献类型：期刊论文
| 作者 | Zhang, P
|
| 刊名 | JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
 |
| 出版日期 | 2015 |
| 期号 | 0页码:P11006 |
| 关键词 | random graphs networks clustering techniques |
| 通讯作者 | Zhang, P (reprint author), Chinese Acad Sci, State Key Lab Theoret Phys, Inst Theoret Phys, Beijing 100190, Peoples R China. |
| 英文摘要 | The normalized mutual information (NMI) has been widely used to evaluate the accuracy of community detection algorithms. However in this article we show that the NMI is seriously affected by systematic errors due to finite size of networks, and may give a wrong estimate of performance of algorithms in some cases. We give a simple theory to the finite-size effect of NMI and test our theory numerically. Then we propose a new metric for the accuracy of community detection, namely the relative normalized mutual information (rNMI), which considers statistical significance of the NMI by comparing it with the expected NMI of random partitions. Our numerical experiments show that the rNMI overcomes the finite-size effect of the NMI. |
| 学科主题 | Mechanics ; Physics |
| 类目[WOS] | Mechanics ; Physics, Mathematical |
| 关键词[WOS] | NETWORKS |
| 收录类别 | SCI |
| 语种 | 英语 |
| 源URL | [http://ir.itp.ac.cn/handle/311006/20803]  |
| 专题 | 理论物理研究所_理论物理所1978-2010年知识产出 |
| 推荐引用方式 GB/T 7714 | Zhang, P. Evaluating accuracy of community detection using the relative normalized mutual information[J]. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT,2015(0):P11006. |
| APA | Zhang, P.(2015).Evaluating accuracy of community detection using the relative normalized mutual information.JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT(0),P11006. |
| MLA | Zhang, P."Evaluating accuracy of community detection using the relative normalized mutual information".JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT .0(2015):P11006. |
入库方式： OAI收割
来源：理论物理研究所
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