calc_weighted_topological_indices: Function to calculate weighted network indices

In lsaravia/EcoNetwork: Ecological network analysis includind multiplex networks

Description

The function calculates: weighted linkage density, connectance, generality and vulnerability and the SDs of the last two based on 1 and the level of omnivory, mean and maximum trophic level based on 2 using NetIndices::TrophInd() function. The igraph networks must have the weight attribute.

Usage

calc_weighted_topological_indices(ig, ncores = 0)

Arguments

ig	An igraph object with the weight attribute representing fluxes
ncores	number of cores used to compute in parallel, if 0 sequential processing is used.

Value

a data.frame with the following fields:

LD:	linkage density
Connectance:	directed Connectance
TLmean:	mean trophic level
TLmax:	maximum trophic level
LOmnivory:

Level of omnivory, quantifies mean of the variety in trophic levels of the preys of a consumer

Vulnerability:	mean of number of consumers per prey
VulSD:	the standard deviation of normalized Vulnerability
Generality:	mean number of prey per consumer
GenSD:	the standard deviation of normalized Generality

References

1. Bersier, LF. et al. (2002). Quantitative Descriptors Of Food-web Matrices. Ecology, 83(9), 2394–2407.

2. Kones, JK. et al. (2009). Are network indices robust indicators of food web functioning? A Monte Carlo approach. Ecological Modelling, 220, 370–382.

Examples

# Generate a test network

g <-   graph_from_literal( 1 -+ 4 -+ 7,2 -+ 5 -+7, 3-+6-+7, 7-+7, 4+-3, simplify = FALSE)

# Add weight

E(g)$weight <- sample(c(.1,.2,.8,.9),gsize(g),replace=TRUE)

calc_weighted_topological_indices(g)

lsaravia/EcoNetwork documentation built on Feb. 11, 2022, 6:37 a.m.