Replication Data for: Predicting Community Evolution in Social Networks
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'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' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["GEP method","group evolution prediction","machine learning","SNA"]} <|eot_id|>
 Here is the Description of a dataset. Description:'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' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
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
GEP method; group evolution prediction; machine learning; SNA