Cal_adjrand

所属分类:其他
开发工具:matlab
文件大小:38KB
下载次数:1
上传日期:2020-03-08 21:24:36
上 传 者飞翔的plyoung
说明:  对于有原始社区划分标签的网络,采用自适应随机系数(ARI)来衡量社区发现的质量。ARI主要通过比对社区发现的结果与社区原始划分之间的误差来计算社区发现的正确率。ARI值越大,表示社区发现得到的结果与原始社区划分越接近,也即社区发现的效果越好。
(For networks with original community division labels, the adjusted Rand Coefficient (ARI) is used to measure the quality of community discovery. ARI mainly calculates the correct rate of community discovery by comparing the errors between the results of community discovery and the original division of the community. The larger the ARI value, the closer the community discovery result to the original community division, that is, the better the effect of community discovery.)

文件列表:
Cal_adjrand.m (3556, 2020-02-20)
LFR_06_label.mat (782, 2019-10-23)
LFR_06_Net.mat (37060, 2019-10-23)

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