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Table 6 Pearson correlation coefficients between precision and network metrics

From: Network-theoretic information extraction quality assessment in the human trafficking domain

Network metric City Name Phone
Order -0.7292 -0.8219 -0.4537
Power-law exponent -0.6995 0.8628 -0.6169
Num. connected components 0.9741 0.9624 0.9886
Clustering coefficient 0.7010 0.9017 0.8362
Degree correlation 0.3245 0.2297 0.157
Order (of largest connected component) -0.9839 -0.7776 -0.9958
Algebraic connectivity 0.9837 -0.5925 0.7055
Vertex connectivity 0.9838 0.5204 0.6025
Edge connectivity 0.9834 0.5204 0.7229
Diameter -0.5471 0.8368 -0.9950
Avg. shortest path length -0.1373 0.4637 -0.9964
  1. Since the network is disconnected, all metrics listed below Order (of Largest Connected Component) are computed over the largest connected component. * and ** respectively indicate statistical significance at the 95% and 99% level for the two-tailed test for the correlation coefficient with null hypothesis ρ=0