BuildCascade: Build a Cascade Model Network

In esander91/PredictImportance: Generate Networks, Simulate Abundance Data, and Analyze Importance Correlates

Description

Generates a random network of a given size and approximate connectance according to the cascade model

Usage

BuildCascade(S = 50, C = 0.1)

Arguments

S	Number of species in network; defaults to 50
C	Network connectance, defined as 2L/(S(S-1)), where L is the number of links. Defaults to .1. The resulting matrix will have a connectance of C +/- 2sqrt(.5C(1-C)S(S-1)).

Value

A weakly connected, unsigned adjacency matrix of size (S,S).

References

Cohen, J.E. and C.M. Newman. 1985. A Stochastic Theory of Community Food Webs: I. Models and Aggregated Data. Proc. R. Soc. Lond. B. 224: 421-448; DOI: 10.1098/rspb.1985.0042.

Examples

BuildCascade()

esander91/PredictImportance documentation built on May 16, 2019, 8:51 a.m.