Replication Data for: Analysis of group evolution prediction in complex 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: 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' . 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: 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' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
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
GEP method; group evolution prediction; machine learning; SNA