According to the analysis of Almeida-Neto et al. networklevel calls nestedtemp! If you are interested in the different null models, please use the function nested or nestedtemp directly.Īnother index for nestedness, calling nestednodf. Nestedness temperature of the matrix (0 means cold, i.e. The cluster coefficient can be computed both for the entire network, as well as for each level (for the latter indicated by suffix HL or LL). Introduced by Watts & Strogatz (1998) and described in Wikipedia under. simply the number of realised links devided by the number of possible links. The cluster coefficient for a network is the average cluster coefficients of its members, i.e. Shannon's diversity of compartment sizes (size = number of species from both levels) see Tylianakis et al. They are also nicely visualised in the visweb function. Mathematically, they are Jordan blocks, but this implementation is rule-based (and fast). Mean number of links per species (qualitative): sum of links divided by number of species.Ĭompartments are sub-sets of the web which are not connected (through either higher or lower trophic level) to another compartment. This is the standardised number of species combinations often used in co-occurrence analyses (Gotelli & Graves 1996)īalance between numbers in the two levels: positive values indicate more higher-trophic level species, negative more lower-trophic level species implemented as (ncol(web)-nrow(web))/sum(dim(web)) web asymmetry is a null model for what one might expect in dependence asymmetry: see Blüthgen et al. 2002): sum of links divided by number of cells in the matrix (= number of higher times number of lower trophic level species). Realised proportion of possible links (Dunne et al. The suffixes LL and HL refer to lower and higher level, respectivelyĭepending on the selected indices, some or all of the below (returned as vector if “degree distribution” was not requested, otherwise as list): connectance Logbase="e", intereven="prod", H2_integer=TRUE, fcweighted=TRUE, Nrep = 100, CCfun=median, dist="horn", normalise=TRUE, empty.web=TRUE, ISAmethod="Bluethgen", SAmethod = "Bluethgen", extinctmethod = "r", Networklevel: Analysis of bipartite webs at the level of the entire network DescriptionĬalculates a variety of indices and values for a bipartite network Usage networklevel(web, index="ALLBUTDD", level="both", weighted=TRUE,
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