Table 8 Pearson correlation coefficients between F-Score and network metrics
From: Network-theoretic information extraction quality assessment in the human trafficking domain
Network metric | City | Name | Phone |
|---|---|---|---|
Order | -0.6284 | -0.5268 | -0.0769 |
Power-law Exponent | -0.5918 | 0.7635 ∗ | -0.1704 |
Num. Connected Components | 0.9484 ∗∗ | 0.8211 ∗ | 0.6347 |
Clustering Coefficient | 0.6395 | 0.7352 ∗ | 0.3150 |
Degree Correlation | 0.2693 | 0.0863 | -0.3799 |
Order (of Largest Connected Component) | -0.9401 ∗∗ | -0.3578 | -0.5885 |
Algebraic Connectivity | 0.9413 ∗∗ | -0.7014 | 0.6583 |
Vertex Connectivity | 0.9415 ∗∗ | 0.3980 | 0.7384 ∗ |
Edge Connectivity | 0.9407 ∗∗ | 0.3980 | 0.5411 |
Diameter | -0.4459 | 0.3831 | -0.5926 |
Avg. Shortest Path Length | -0.3948 | -0.1305 | -0.5984 |