compactness: Compactness
In QuACN: QuACN: Quantitative Analysis of Complex Networks
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
This method calculates the compactness of a graph.
Usage
1
compactness(g, dist = NULL, wien = NULL)
Arguments
g
a graphNEL object
dist
the Distance Matrix of the graph g (optional)
wien
the Wiener index of the graph g (optional)
Value
This returns the compactness of the graph.
Author(s)
Laurin Mueller
References
asdf
Examples
1
2
3
4
5
6
7
8
9
library(graph)
library(RBGL)
set.seed(123)
g <- randomGraph(1:8, 1:5, 0.36, weights=FALSE)
#calculate Distance Matrix
mat.dist <- distanceMatrix(g)
compactness(g)
QuACN documentation built on May 2, 2019, 5:46 p.m.
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Description Usage Arguments Value Author(s) References Examples
Description
This method calculates the compactness of a graph.
Usage
1 | compactness(g, dist = NULL, wien = NULL)
|
Arguments
g |
a graphNEL object |
dist |
the Distance Matrix of the graph g (optional) |
wien |
the Wiener index of the graph g (optional) |
Value
This returns the compactness of the graph.
Author(s)
Laurin Mueller
References
asdf
Examples
1 2 3 4 5 6 7 8 9 | library(graph)
library(RBGL)
set.seed(123)
g <- randomGraph(1:8, 1:5, 0.36, weights=FALSE)
#calculate Distance Matrix
mat.dist <- distanceMatrix(g)
compactness(g)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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