
Overview This is a temporal higher-order network dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. In this dataset, nodes are authors, and a hyperedge is a publication marked with the "History" tag in the Microsoft Academic Graph. Timestamps are the year of publication. We restricted to hyperedges containing at most 25 nodes. Statistics Some basic statistics of this dataset are: number of nodes: 1,014,734 number of timestamped hyperedges: 1,812,511 number of unique simplices: 895,668 Source of original data Source: coauth-MAG-History dataset References If you use this data, please cite the following papers: 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. An overview of Microsoft Academic Service (MAS) and applications. Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June Hsu, and Kuansan Wang. Proceedings of WWW, 2015.
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
