normalizedEdgeComplexity: Normalized Edge Complexity
In QuACN: QuACN: Quantitative Analysis of Complex Networks
Description
Usage
Arguments
Value
Author(s)
References
Examples
View source: R/normalizedEdgeComplexity.R
Description
This method calculates the Normalized Edge Complexity.
Usage
1
normalizedEdgeComplexity(g, ita = NULL)
Arguments
g
a graph as a graphNEL object.
ita
the total adjacency measure.
Value
This method returns the Normalized Edge Complexity
Author(s)
Laurin Mueller <laurin@eigenlab.net>
References
D. Bonchev and D. H. Rouvray, Complexity in Chemistry, Biology, and Ecology, ser. Mathematical and Computational Chemistry. Springer, 2005, New York, NY, USA.
Examples
1
2
3
4
5
library(RBGL)
set.seed(123)
g <- randomGraph(1:8, 1:5, 0.36, weights=FALSE)
normalizedEdgeComplexity(g)
QuACN documentation built on May 2, 2019, 5:46 p.m.
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Description Usage Arguments Value Author(s) References Examples
View source: R/normalizedEdgeComplexity.R
Description
This method calculates the Normalized Edge Complexity.
Usage
1 | normalizedEdgeComplexity(g, ita = NULL)
|
Arguments
g |
a graph as a graphNEL object. |
ita |
the total adjacency measure. |
Value
This method returns the Normalized Edge Complexity
Author(s)
Laurin Mueller <laurin@eigenlab.net>
References
D. Bonchev and D. H. Rouvray, Complexity in Chemistry, Biology, and Ecology, ser. Mathematical and Computational Chemistry. Springer, 2005, New York, NY, USA.
Examples
1 2 3 4 5 | library(RBGL)
set.seed(123)
g <- randomGraph(1:8, 1:5, 0.36, weights=FALSE)
normalizedEdgeComplexity(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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