met.disparity.single: Disparity

In SebastianSosa/ant: Animal Network Toolkit Software

Disparity

Description

Calculate for all the vertices the node metric call met.disparity.

Usage

met.disparity.single(M, df = NULL, dfid = NULL)

Arguments

M	a square adjacency matrix.
df	a data frame of same length of the input matrix.
dfid	an integer indicating the column of individual ids in argument df
directed	if true then calculate the met.disparity directed version i.e. in-met.disparity, out-met.disparity, met.disparity.

Details

Disparity measures the weight variation of a node. This metric compares a node's strength with its degree. It provides information on the type of edges found in a node i, i.e. few strong edges or many weak edges met.disparity of a vertice i is the summe of the squares of the division between the weigthed edge between node i and j and the met.strength of node i

Value

• For the undirected version: Return an integer vector of each vertices met.disparity.

• For the undirected version: Return a data frame of three columns: met.disparity,inDisparity,outDisparity.

Author(s)

Sebastian Sosa, Ivan Puga-Gonzalez.

References

Whitehead, H. A. L. (1997). Analysing animal social structure. Animal behaviour, 53(5), 1053-1067.

Sosa, S. (2018). Social Network Analysis, in: Encyclopedia of Animal Cognition and Behavior. Springer.

SebastianSosa/ant documentation built on Sept. 23, 2023, 7:06 a.m.