View source: R/ExponentialFitnessLinkFun.R

Computes the mean out-degree of a node with given fitness `x`

in the fitness model implemented in
`Model.additivelink.exponential.fitness`

. The function
returns the mean out-degree divided by n-1.

1 | ```
Model.fitness.conditionalmeandegree(x, alpha, beta, gamma = 1)
``` |

`x` |
Fitness of node. A nonegative number. |

`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 Nov. 17, 2017, 6:13 a.m.

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