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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