dobrynin: Dobrynin inidces

In QuACN: QuACN: Quantitative Analysis of Complex Networks

Description

This function calculates a set of basic descriptors intruduced by Skorobogatov and Dobrynin.

Usage

dobrynin(g, dist = NULL)

Arguments

g	a graph as a graphNEL object.
dist	the distance matrix of the graph. If the parameter is empty the distance matrix will be calculated within the function.

Details

This methods calculates 14 basic descriptors intruduced by Skorobogatov and Dobrynin.

Value

This function return a list containing the 14 descriptors.

eccentricityVertex	Eccentricity of all vertices
eccentricityGraph	Eccentricity of a graph
avgeccOfG	Average eccentricity of a graph
ecentricVertex	Eccentric of all vertices
ecentricGraph	Eccentric of a graph
vertexCentrality	Vertex centrality
graphIntegration	Graph integration
unipolarity	Unipolarity of a graph
vertexDeviation	Deviation of all vertices
variation	Variation of a graph
centralization	Centralization of a graph
avgDistance	Average distance of a graph
distVertexDeviation	Distance vertex deviation
meanDistVertexDeviation	Mean distance vertex deviation

Author(s)

Laurin Mueller

References

Skorobogatov V.A. and Dobrynin A.A., Metric analysis of graphs, match, pp. 105-151, 1988.

Examples

library(graph)
library(RBGL)
set.seed(123)
g <- randomGraph(1:8, 1:5, 0.36, weights=FALSE)

dobrynin(g)

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