edgeMagnitudeMIC: Mean information content on the edge magnitude

In QuACN: QuACN: Quantitative Analysis of Complex Networks

Description

This method calculates the mean information content on the edge magnitude.

Usage

edgeMagnitudeMIC(g, deg=NULL)

Arguments

g	a graph as a graphNEL object.
deg	the degree of each node of g. Will be automatically calculated if not supplied.

Value

The return value is the mean information content on the edge magnitude, a measure based on the ratio of individual edge connectivities to their sum (the Randic index).

Author(s)

Michael Schutte

References

Bonchev, D., Mekenyan, O. and Trinajstic, N. Isomer Discrimination by Topological Information Approach. J. Comput. Chem., 2:127-148, 1981

Examples

set.seed(987)
g <- randomEGraph(LETTERS[1:10], 0.3)
deg <- graph::degree(g)

edgeMagnitudeMIC(g, deg)

QuACN documentation built on May 2, 2019, 5:46 p.m.