Table 3 Basic statistical metrics relative to the final dataset built for the first experiment (period 1991–2011)
From: Improving trend analysis using social network features
Feature | Mean | Std. Dev. | Min | Max |
|---|---|---|---|---|
Giant composition | 15.18 | 24.16 | 0.00 | 368.00 |
Shortest path | 2.63 | 1.52 | 0.00 | 10.00 |
Degree centrality | 37.04 | 28.36 | 0.00 | 148.73 |
Eigenvector centrality | 0.02 | 0.03 | 0.00 | 0.24 |
Page rank centrality | 0.01 | 0.01 | 0.00 | 0.02 |
Betweenness centrality | 78,492.67 | 67,884.57 | 0.00 | 368,246.75 |
Closeness centrality | 0.01 | 0.01 | 0.00 | 0.07 |
Clustering coefficient | 0.92 | 0.79 | 0.00 | 5.70 |
Structural equivalence | 0.02 | 0.06 | 0.00 | 1.01 |
Community average centrality | 18.93 | 13.80 | 0.00 | 95.21 |
Time series prediction | 14.37 | 29.96 | −97.50 | 324.46 |