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Table 3 Homophily measures of model class \(\mathscr {P}\) for different network sizes N and asymptotically (\(N\rightarrow \infty\)), where \(\alpha =1\), \(\mu =(0.7,0.2,\) 0.1), \(f(a,a)=0.8\), \(f(a,a')=0.1\), \(a\ne a'\) \(=1,2,3\) and \(m = 1\)

From: Learning attribute and homophily measures through random walks

 

\(D_1\)

\(D_2\)

\(D_3\)

\(H_{12}\)

\(H_{13}\)

\(H_{23}\)

Asym.

1.369

3.183

4.038

0.3074

0.4059

0.4633

model class \(\mathscr {P}\)

      

\(N=5000\)

1.391

3.115

3.961

0.312

0.393

0.4362

\(N=10000\)

1.384

3.226

3.459

0.291

0.433

0.448

\(N=30000\)

1.363

3.185

3.774

0.316

0.415

0.476