graphDensity: Graph density
In Accio/KEGGgraph: KEGGgraph: A graph approach to KEGG PATHWAY in R and Bioconductor
graphDensity R Documentation
Graph density
Description
The graph density is defined as
d = E/(V*(V-1)/2)
where E is the number of edges and V of nodes.
Usage
graphDensity(graph)
Arguments
graph
A graph object
Details
The density of a graph lies between [0,1]
Value
A value between [0,1]
Author(s)
Jitao David Zhang jitao_david.zhang@roche.com
References
Aittokallio and Schwikowski (2006), Graph-based methods for
analysing networks in cell biology, Briefings in Bioinformatics, 7, 243-255.
Examples
tnodes <- c("Hamburg","Dortmund","Bremen", "Paris")
tedges <- list("Hamburg"=c("Dortmund", "Bremen"),
"Dortmund"=c("Hamburg"), "Bremen"=c("Hamburg"), "Paris"=c())
tgraph <- new("graphNEL", nodes = tnodes, edgeL = tedges)
graphDensity(tgraph)
Accio/KEGGgraph documentation built on Jan. 13, 2023, 1:03 p.m.
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| graphDensity | R Documentation |
Graph density
Description
The graph density is defined as d = E/(V*(V-1)/2) where E is the number of edges and V of nodes.
Usage
graphDensity(graph)
Arguments
graph |
A graph object |
Details
The density of a graph lies between [0,1]
Value
A value between [0,1]
Author(s)
Jitao David Zhang jitao_david.zhang@roche.com
References
Aittokallio and Schwikowski (2006), Graph-based methods for analysing networks in cell biology, Briefings in Bioinformatics, 7, 243-255.
Examples
tnodes <- c("Hamburg","Dortmund","Bremen", "Paris")
tedges <- list("Hamburg"=c("Dortmund", "Bremen"),
"Dortmund"=c("Hamburg"), "Bremen"=c("Hamburg"), "Paris"=c())
tgraph <- new("graphNEL", nodes = tnodes, edgeL = tedges)
graphDensity(tgraph)
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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