Replication Data for: Chapter 2, Unveiling the determinants of scientific collaboration and persistence: a network analysis perspective
<|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:'The chapter results are based on 10 different panel datasets: 5 for tie formation, and 5 for tie persistence (see Methodology section of Chapter 2). Each of the panel datasets uses a different community detection algorithm. The five algorithms used, as described in the data section of the chapter, are: Fastgreedy, Infomap, Multilevel, Spinglass and Walktrap' . 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" : ["Network analysis","scientific productivity"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The chapter results are based on 10 different panel datasets: 5 for tie formation, and 5 for tie persistence (see Methodology section of Chapter 2). Each of the panel datasets uses a different community detection algorithm. The five algorithms used, as described in the data section of the chapter, are: Fastgreedy, Infomap, Multilevel, Spinglass and Walktrap' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The chapter results are based on 10 different panel datasets: 5 for tie formation, and 5 for tie persistence (see Methodology section of Chapter 2). Each of the panel datasets uses a different community detection algorithm. The five algorithms used, as described in the data section of the chapter, are: Fastgreedy, Infomap, Multilevel, Spinglass and Walktrap
Network analysis; scientific productivity