Fig. 2From: Learning attribute and homophily measures through random walksNetworks generated by the model class \(\mathscr {P}(\alpha , \mu , f)\) with heterophily where \(N=1000\), \(\mu = (0.7, 0.2,0.1)\), \(f(a,a)=0.2\), \(f(a,a')=0.4\), \(a\ne a'=1,2,3\) and \(m=2\) a \(\alpha =0.2\), b \(\alpha =1\), c \(\alpha =1.2\)Back to article page