graph_generation: dummy graph generation
In DiffNet: Identifying Significant Node Scores using Network Diffusion Algorithm
View source: R/graph_generation.R
graph_generation R Documentation
dummy graph generation
Description
dummy graph generation
Usage
graph_generation(n.nodes = 10, prob.connection = 0.5)
Arguments
n.nodes
number of nodes
prob.connection
node connection probability (default=0.5)
Details
Generate a random graph
Value
igraph object
Examples
graph = graph_generation(n.nodes = 10, prob.connection = 0.5)
initial_score = c(rep(0,5),0.2, 0.3, 0, 0, 0.5)
names(initial_score) = igraph::V(graph)
DiffNet documentation built on Nov. 22, 2023, 5:07 p.m.
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View source: R/graph_generation.R
| graph_generation | R Documentation |
dummy graph generation
Description
dummy graph generation
Usage
graph_generation(n.nodes = 10, prob.connection = 0.5)
Arguments
n.nodes |
number of nodes |
prob.connection |
node connection probability (default=0.5) |
Details
Generate a random graph
Value
igraph object
Examples
graph = graph_generation(n.nodes = 10, prob.connection = 0.5)
initial_score = c(rep(0,5),0.2, 0.3, 0, 0, 0.5)
names(initial_score) = igraph::V(graph)
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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