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 |