Ordinary mobility detected by call detail records along 2014
<|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:'These data sets contain the aggregated values of human mobility detected by CDR in the MRRJ (21 area). The data covers the year of 2014. We inferred the mobility basically by two forms: one given by two consecutive calls, and other given by only one call. The first generated results like O-D matrices, and the latter generated results like visiting detection rank over four shifts of each day' . 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" : ["21 area","CDR","MRRJ"]} <|eot_id|>
 Here is the Description of a dataset. Description:'These data sets contain the aggregated values of human mobility detected by CDR in the MRRJ (21 area). The data covers the year of 2014. We inferred the mobility basically by two forms: one given by two consecutive calls, and other given by only one call. The first generated results like O-D matrices, and the latter generated results like visiting detection rank over four shifts of each day' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
These data sets contain the aggregated values of human mobility detected by CDR in the MRRJ (21 area). The data covers the year of 2014. We inferred the mobility basically by two forms: one given by two consecutive calls, and other given by only one call. The first generated results like O-D matrices, and the latter generated results like visiting detection rank over four shifts of each day
21 area; CDR; MRRJ