Model.fitness.meandegree {systemicrisk}

Mean out-degree of a random node the fitness model

Description

Computes the relative mean out-degree of a randomly chosen node given fitness x in the fitness model implemented in Model.additivelink.exponential.fitness. The function returns the mean out-degree divided by n-1.

Usage

Model.fitness.meandegree(alpha, beta, gamma = 1)

Arguments

alpha

Exponent of the power law of the degree distribution. Must be <0.

beta

Lower endpoint of the relative expected out degree (expected out degree divided by n-1). Must be >=0.

gamma

Upper endpoint of the relative expected out degree (expected out degree divided by n-1). Must be at least beta and at most 1.

Value

Mean out-degree divided by n-1.