sbmNorm function

(squared) norm between two stochastic block models

the norm is the minimal graphon distance between two stochastic block model parameters obtained with the best permutations of the parameters

sbmNorm(theta1, theta2)

Arguments

• theta1: a stochastic block model parameter
• theta2: a stochastic block model parameter

Returns

(squared) norm between two stochastic block models

Examples

theta1 <- list(pi=c(.5,.5), gamma=matrix((1:4)/8,2,2))
theta2 <- list(pi=c(.5,.5), gamma=matrix(4:1/8,2,2))
theta3 <- list(pi=c(.5,.5), gamma=matrix(1:4/4,2,2))
sbmNorm(theta1, theta2)
sbmNorm(theta1, theta3)
sbmNorm(theta2, theta3)