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Table 1 Empirical temporal networks. Columns, from leftmost to rightmost: data set name, number of active nodes, number of nodes, number of timestamps, number of temporal edges, average weight of temporal edges, average fraction of timestamps in which a node is active

From: Predicting partially observed processes on temporal networks by Dynamics-Aware Node Embeddings (DyANE)

Name \(|\mathcal{V}|\) |V| |T| |E| \(\frac{1}{|E|} \sum_{e \in E} w(e)\) \(\frac{1}{|V| |T|}\sum_{v \in V} |\mathcal{V}_{v}|\)
InVS15 22,451 217 699 37,582 4.164 0.148
LH10 4880 76 342 14,870 4.448 0.188
SFHH 10,815 403 127 34,446 4.079 0.211
Thiers13 32,546 327 246 71,724 5.256 0.405
LyonSchool 17,174 242 104 89,640 2.806 0.682