Model.fitness.meandegree: Mean out-degree of a random node the fitness model

In systemicrisk: A Toolbox for Systemic Risk

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.

systemicrisk documentation built on May 2, 2019, 9:26 a.m.