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Fig. 8 | Applied Network Science

Fig. 8

From: Learning attribute and homophily measures through random walks

Fig. 8

Boxplots of 500 estimates of homophily measures under model class \(\mathscr {P}(\alpha ,\mu ,f)\) with homophily where \(N=2000\), \(\alpha =1\), \(\mu = (0.7, 0.2,0.1)\), \(f(a,a)=0.8\), \(f(a,a')=0.1\), \(a\ne a'=1,2,3\) and \(m=2\). The sample size for each sampling method is 0.3N. N2V-2 (\(w_{ij} = 0.3\) if nodes have equal attributes and 1 otherwise), N2V-3 (\(\theta =10^{-3}\), \(\beta =\gamma =1\)), N2V-4 (\(\theta =10^{-3}\), \(\beta =\gamma =1\), \(w_{ij} = 0.3\) if nodes have equal attributes and 1 otherwise). The red dotted lines represent the true values

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