Computation of NOS using an undirected network (e.g. a social co-occurence network) and without a user provided network of potential interactions. In an undirected network, all nodes are considered as potential interacting partners.
NOSM_undir(net, perc = 1, sl = 1)
A network, in the form of an edge list. This should be a matrix or
dataframe with two columns. Each value in a column is a node. Nodes can be
identified using numbers or characters. Data can also be in the format of a
frequency interaction matrix, as used in the bipartite R
package. In these cases
(default to 1) - the fraction of node pair comparisons to be performed to compute NOS. We recommend performing all possible pair comparisons (perc = 1). However, for exploratory analyses on large sets of networks (or for very large networks), the possibility of using a lower fraction of pair comparisons is a useful option.
(default is 1) Specifies whether cannibalistic interactions should be considered as possible and therefore taken into account and removed during computation ('1') or not ('0').
A list of class 'NOSM' with a 'Type' attribute 'Undir', containing a
vector of overlap values. The
summary.NOSM methods provides
more useful summary statistics.
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