Replication Data for: Analysis of group evolution prediction in complex networks
收藏DataCite Commons2025-05-11 更新2025-05-17 收录
下载链接：
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/ONOFS7
下载链接
链接失效反馈官方服务：
资源简介：
Replication Data for: Analysis of group evolution prediction in complex networks.
There are 28 data sets obtained from 7 real-world sources: Digg, Facebook, Infectious, IrvineMessages, Loans, MIT, Slashdot.
Data sets are in CSV format with header row.
Each data set is divided into 5x2 folds, which were used for 10-fold cross validation.
Data sets have different number of features. The class being classified is "event_type". It can have the following values: continuing, dissolving, growing, merging, shrinking, splitting.
提供机构：
Harvard Dataverse
创建时间：
2018-03-06
