Replication Data for: Predicting Community Evolution in Social Networks

Replication Data for: Predicting Community Evolution in Social Networks. There are 25 data sets obtained from 3 real-world sources: DBLP, Facebook, Salon24. Data sets correspond to different evolution chain lengths, from 2 to 10. For the Salon24 source the limited amount of data is provided due to extremely large number of data for longer chains. Data sets have different number of features. The class being classified is \"eventX_Y\". It can have the following values: continuing, dissolving, growing, merging, shrinking, splitting. Data sets are in CSV format with header row. Please note, that this data set was obtained with the GED method. In the article the SGCI method was used as well, and this data set does not include files generated with SGCI.