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Table 2 Logistic Regression Results: Network Metric Coefficients. Coefficients for network metrics of one-versus-one logistic regression models predicting article category. Boldface (p<0.05) and italics (p<0.1) denote the statistical significance level of coefficients. Abbreviations resemble the following metrics: in-degree (deg-), out-degree (deg+), number of revisions (nrev), PageRank (PR), reciprocity (r), clustering coefficient (CC), betweenness centrality (CB), ego network betweenness \(\left ({C_{B}^{ego}}\right)\), local betweenness approximation \(\left ({C_{B}^{loc}}\right)\), and average path length (l)

From: Relating Wikipedia article quality to edit behavior and link structure

Metrics LQ vs HQ LQ vs CI LQ vs EW HQ vs CI HQ vs EW EW vs CI
deg- -0.085 0.032 0.145 0.027 0.057 -0.182
deg+ 0.347 0.048 0.764 -0.210 0.532 -1.370
nrev 0.058 0.839 2.551 0.397 1.075 -1.906
PR 0.017 -0.040 -0.026 -0.010 -0.007 0.134
r -0.258 -0.518 -0.006 -0.206 0.115 -0.085
CC -0.545 -0.107 -0.167 -0.166 -0.093 0.108
k-Core 0.556 1.315 1.017 0.634 0.434 -0.015
CB 0.011 0.021 0.004 0.001 -0.014 -0.021
\(C_{B}^{ego}\) -0.271 0.064 0.039 -0.126 -0.162 -0.022
\(C_{B}^{loc}\) -1.245 1.059 0.299 3.088 1.956 0.175
l -0.278 -0.133 -0.622 0.009 -0.085 -0.227
Intercept 0.230 -3.107 -4.472 -3.360 -4.438 -0.373