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Fig. 10 | Applied Network Science

Fig. 10

From: Learning attribute and homophily measures through random walks

Fig. 10

Boxplots of 500 estimates of the attribute distribution: Wikipedia (N2V-2 and -4: \(w_{ij} = 0.75\) if nodes have equal attributes and 1 otherwise), Blogs (N2V-2 and -4: \(w_{ij} = 0.3\) if nodes have equal attributes and 1 otherwise), APS (N2V-2 and -4: \(w_{ij} = 0.25\) if nodes have equal attributes and 1 otherwise), Swarthmore (N2V-2 and -4: \(w_{ij} = 0.95\) if nodes have equal attributes and 1 otherwise). N2V-3 and -4, \(\theta =10^{-3}\), \(\gamma =\beta =1\). The sample size for each sampling method is 0.15N. The red dotted lines represent the true values

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