tags-math-sx

<h3><strong>Overview</strong></h3><p>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 tags, and hyperedges are the sets of tags applied to questions on math.stackexchange.com.</p><p>Each hyperedge corresponds to all of the tags used in a post, and each node in a hyperedge corresponds to a tag. The timestamps are normalized so that the earliest tag starts at 0 and are in millisecond resolution.</p><h4><strong>Statistics</strong></h4><p>Some basic statistics of this dataset are:</p><ul><li>number of nodes: 1,629</li><li>number of timestamped hyperedges: 822,059</li><li>number of unique hyperedges: 174,933</li></ul><h4><strong>Source of original data</strong></h4><p>Source: <a href="https://www.cs.cornell.edu/~arb/data/tags-math-sx/">tags-math-sx dataset</a></p><h4><strong>References</strong></h4><p>If you use this data, please cite the following paper:</p><ul><li><a href="https://doi.org/10.1073/pnas.1800683115">Simplicial closure and higher-order link prediction</a>. Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.</li></ul>