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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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DAWN

Authors: Landry, Nicholas;
Abstract

Overview The Drug Abuse Warning Network (DAWN) is a national health surveillance system that records drug use contributing to hospital emergency department visits throughout the United States. Hyperedges in this dataset are the drugs used by a patient (as reported by the patient) in an emergency department visit. The drugs include illicit substances, prescription and over-the-counter medication, and dietary supplements. Timestamps of visits (under the `timestamp` attribute of the hyperedges) are recorded at the resolution of quarter-years, spanning a total duration of 8 years (2004 to 2011). The names of the drugs are encoded in the `name` attribute of the nodes. This is a temporal hypergraph dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. Timestamps are in ISO8601 format. In the original dataset, the same drug substance can have more than one NDC code. For example, different dosages of the same drug may result in multiple NDC codes. Statistics Some basic statistics of this dataset are: Number of nodes: 2,558 Number of timestamped hyperedges: 2,272,433 Distribution of the connected components: Component size, number 2290, 1 1, 68 Source of original data Sources: * DAWN dataset References If you use this dataset, please cite these references: Simplicial closure and higher-order link prediction, Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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