weightd_random_walk: Weighted Random Walk algorithm
In PLEXI: Multiplex Network Analysis
weightd_random_walk R Documentation
Weighted Random Walk algorithm
Description
Weighted Random Walk algorithm
Usage
weightd_random_walk(graph, startNode, maxStep = 5, node_names = FALSE)
Arguments
graph
an igraph object
startNode
the starting node (i.e. a node name or a node index)
maxStep
maximum number steps (default:5)
node_names
a list of names for nodes
Value
The set of nodes passed by the random walker.
Examples
data = example_data()
nodePath = weightd_random_walk(graph = data[["igraph_example"]], startNode = 1)
PLEXI documentation built on Aug. 9, 2023, 5:08 p.m.
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| weightd_random_walk | R Documentation |
Weighted Random Walk algorithm
Description
Weighted Random Walk algorithm
Usage
weightd_random_walk(graph, startNode, maxStep = 5, node_names = FALSE)
Arguments
graph |
an igraph object |
startNode |
the starting node (i.e. a node name or a node index) |
maxStep |
maximum number steps (default:5) |
node_names |
a list of names for nodes |
Value
The set of nodes passed by the random walker.
Examples
data = example_data()
nodePath = weightd_random_walk(graph = data[["igraph_example"]], startNode = 1)
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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