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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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tags-ask-ubuntu

Authors: Landry, Nicholas;

tags-ask-ubuntu

Abstract

Overview This is a temporal hypergraph dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. In this dataset, nodes are tags, and hyperedges are the sets of tags applied to questions on askubuntu.com. The timestamps are in ISO8601 format and are normalized to start at 0. This dataset is derived from tags on Ask Ubuntu posts. Statistics Some basic statistics of this dataset are: number of nodes: 3,029 number of timestamped hyperedges: 271,233 distribution of the connected components: Component Size, Number 3021, 1 1, 8 Source of original data Sources: tags-ask-ubuntu dataset StackExchange 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!
0
Average
Average
Average