New Zealand Legislation Network including all historical and current Acts
<|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:'Laws have unique features that evolve in response to societies and environments. A full description of the complex legislation networks that underlie law-specific functions is still missing. We describe a document-document interaction map for the legislation network of New Zealand containing about 138000 highly reliable interactions between about 16000 laws. In this study, the global behaviour of legislation evolution emerges from statistical analyses of the resulting network, together with a novel stochastic model to explain the network generative processes. We observe a dynamic growth pattern of individual laws' in-degree, providing evidence for a model of evolution for legislation networks. This and future legislation network evolution models should facilitate systematic approaches to understand legislative processes better and improv' . 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" : ["Legislation Network, Generative Model of Network Evolution, Citation Network, Information Extraction, Named Entity Recognition, Approximate String Matching, Stochastic Modelling, $:Lomax$ Distribution, Broad-Scale and Single-scale Networks"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Laws have unique features that evolve in response to societies and environments. A full description of the complex legislation networks that underlie law-specific functions is still missing. We describe a document-document interaction map for the legislation network of New Zealand containing about 138000 highly reliable interactions between about 16000 laws. In this study, the global behaviour of legislation evolution emerges from statistical analyses of the resulting network, together with a novel stochastic model to explain the network generative processes. We observe a dynamic growth pattern of individual laws' in-degree, providing evidence for a model of evolution for legislation networks. This and future legislation network evolution models should facilitate systematic approaches to understand legislative processes better and improv' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Laws have unique features that evolve in response to societies and environments. A full description of the complex legislation networks that underlie law-specific functions is still missing. We describe a document-document interaction map for the legislation network of New Zealand containing about 138000 highly reliable interactions between about 16000 laws. In this study, the global behaviour of legislation evolution emerges from statistical analyses of the resulting network, together with a novel stochastic model to explain the network generative processes. We observe a dynamic growth pattern of individual laws' in-degree, providing evidence for a model of evolution for legislation networks. This and future legislation network evolution models should facilitate systematic approaches to understand legislative processes better and improv
Legislation Network, Generative Model of Network Evolution, Citation Network, Information Extraction, Named Entity Recognition, Approximate String Matching, Stochastic Modelling, $:Lomax$ Distribution, Broad-Scale and Single-scale Networks