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help interpreting this log.
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Dataset
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update: {"description"=>["The data within consist of compressed output files in the form of edgelists (*.edgelist.gz) and nodelists (*.aux.parquet) from large citation network simulations using an agent-based model. The code and instructions are available at: <a href=\"https://github.com/illinois-or-research-analytics/SASCA\"https://github.com/illinois-or-research-analytics/SASCA</a>. In addition, we provide a distribution of citation frequencies drawn from a random sample of PubMed journal articles (pooled_50k_pubmed_unique.csv) and a table of recencies- the frequency with which citations are made to the previous year, the year before that and so on (recency_probs_percent_stahl_filled.csv). A manuscript describing the SASCA-s simulator has been submitted for review and will be referenced in a future version of this data repository if it is accepted. The prefixes sj and er refer to the real world and Erdos-Renyi random graph respectively that were used to initiate simulations. These 'seed' networks are available from the Github site referenced above. \r\n", "The data within consist of compressed output files in the form of edgelists (*.edgelist.gz) and nodelists (*.aux.parquet) from large citation network simulations using an agent-based model. The code and instructions are available at: <a href=\"https://github.com/illinois-or-research-analytics/SASCA\">https://github.com/illinois-or-research-analytics/SASCA</a>. In addition, we provide a distribution of citation frequencies drawn from a random sample of PubMed journal articles (pooled_50k_pubmed_unique.csv) and a table of recencies- the frequency with which citations are made to the previous year, the year before that and so on (recency_probs_percent_stahl_filled.csv). A manuscript describing the SASCA-s simulator has been submitted for review and will be referenced in a future version of this data repository if it is accepted. The prefixes sj and er refer to the real world and Erdos-Renyi random graph respectively that were used to initiate simulations. These 'seed' networks are available from the Github site referenced above. \r\n"]}
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2025-09-08T18:51:26Z
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Dataset
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update: {"description"=>["The data within consist of compressed output files in the form of edgelists (*.edgelist.gz) and nodelists (*.aux.parquet) from large citation network simulations using an agent-based model. The code and instructions are available at: https://github.com/illinois-or-research-analytics/SASCA. In addition, we provide a distribution of citation frequencies drawn from a random sample of PubMed journal articles (pooled_50k_pubmed_unique.csv) and a table of recencies- the frequency with which citations are made to the previous year, the year before that and so on (recency_probs_percent_stahl_filled.csv). A manuscript describing the SASCA-s simulator has been submitted for review and will be referenced in a future version of this data repository if it is accepted. The prefixes sj and er refer to the real world and Erdos-Renyi random graph respectively that were used to initiate simulations. These 'seed' networks are available from the Github site referenced above. \r\n", "The data within consist of compressed output files in the form of edgelists (*.edgelist.gz) and nodelists (*.aux.parquet) from large citation network simulations using an agent-based model. The code and instructions are available at: <a href=\"https://github.com/illinois-or-research-analytics/SASCA\"https://github.com/illinois-or-research-analytics/SASCA</a>. In addition, we provide a distribution of citation frequencies drawn from a random sample of PubMed journal articles (pooled_50k_pubmed_unique.csv) and a table of recencies- the frequency with which citations are made to the previous year, the year before that and so on (recency_probs_percent_stahl_filled.csv). A manuscript describing the SASCA-s simulator has been submitted for review and will be referenced in a future version of this data repository if it is accepted. The prefixes sj and er refer to the real world and Erdos-Renyi random graph respectively that were used to initiate simulations. These 'seed' networks are available from the Github site referenced above. \r\n"]}
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2025-09-08T18:50:54Z
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Creator
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update: {"identifier"=>["", "0000-0001-7717-3514"]}
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2025-09-08T18:45:56Z
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RelatedMaterial
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create: {"material_type"=>"Code", "availability"=>nil, "link"=>"https://github.com/illinois-or-research-analytics/SASCA", "uri"=>"https://github.com/illinois-or-research-analytics/SASCA", "uri_type"=>"URL", "citation"=>"SASCA: Scalable Agent-based Simulator for Citation Analysis (includes SASCA-s)", "dataset_id"=>3030, "selected_type"=>"Code", "datacite_list"=>"IsSupplementedBy", "note"=>"", "feature"=>nil}
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2025-09-08T18:45:56Z
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Creator
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update: {"identifier"=>["", "0000-0002-8676-7565"]}
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2025-09-08T18:45:56Z
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Dataset
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update: {"description"=>["The data within consist of compressed output files in the form of edgelists{*.edgelist.gz) and nodelists (*.aux.parquet) from large citation network simulations using an agent-based model. The code and instructuions are available at: https://github.com/illinois-or-research-analytics/SASCA. In addition, we provide a distribution of citation frequencies drawn from a random sample of PubMed journal articles (pooled_50k_pubmed_unique.csv) and a table of recencies- the frequency with which citations are made to the previous year, the year before that and so on (recency_probs_percent_stahl_filled.csv). A manuscript describing the SASCA-s simulator has been submitted for review and will be referenced in a future version of this data repository if it is accepted. The prefixes sj and er refer to the real world and Erdos-Renyi random graph respectively that were used to initiate simulations. These 'seed' networks are available from the Github site referenced above. \r\n", "The data within consist of compressed output files in the form of edgelists (*.edgelist.gz) and nodelists (*.aux.parquet) from large citation network simulations using an agent-based model. The code and instructions are available at: https://github.com/illinois-or-research-analytics/SASCA. In addition, we provide a distribution of citation frequencies drawn from a random sample of PubMed journal articles (pooled_50k_pubmed_unique.csv) and a table of recencies- the frequency with which citations are made to the previous year, the year before that and so on (recency_probs_percent_stahl_filled.csv). A manuscript describing the SASCA-s simulator has been submitted for review and will be referenced in a future version of this data repository if it is accepted. The prefixes sj and er refer to the real world and Erdos-Renyi random graph respectively that were used to initiate simulations. These 'seed' networks are available from the Github site referenced above. \r\n"], "version_comment"=>[nil, ""], "subject"=>[nil, "Technology and Engineering"], "external_files_link"=>[nil, ""], "external_files_note"=>[nil, ""]}
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2025-09-08T18:45:56Z
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