edgeMagnitudeMIC: Mean information content on the edge magnitude

Description

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

Usage

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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

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

edgeMagnitudeMIC(g, deg)

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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