Replication Data for: Analysis of group evolution prediction in complex networks

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.