netva: Perform network vulnerability analysis for a given set of...
In kr-swapnil/NetVA: An R package for network vulnerability and influence analysis
netva R Documentation
Perform network vulnerability analysis for a given set of nodes one by one
Description
This function performs deletion of nodes one by one and calculation of average betweenness, average closeness, average eccentricity,
average node connectivity, average path length, articulation point, clustering coefficient (transitivity), cohesiveness, compactness,
globalefficiency, heterogeneity, network centralization, network density, and network diameter of resultant networks using multiple
cores on Linux/macOS based machines. For Windows based machine the parallel computing feature is not available and hence, it works in
normal mode only despite providing ncore value more than one and may take more computing time.
Usage
netva(vl, net, ncore = 1)
Arguments
vl
A character vector of node or protein names or list of vectors having two nodes (node pairs/edges) or more than two nodes.
If input is vector, only one node will be deleted at once. However, if the input is list, n nodes will be deleted at once, where n is
the length of each element of the list.
net
An igraph graph object.
ncore
Number of cores users want to use for the computation.
Value
A dataframe having number of rows equal to length(vl) with fourteen columns.
kr-swapnil/NetVA documentation built on April 15, 2024, 8:32 p.m.
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| netva | R Documentation |
Perform network vulnerability analysis for a given set of nodes one by one
Description
This function performs deletion of nodes one by one and calculation of average betweenness, average closeness, average eccentricity, average node connectivity, average path length, articulation point, clustering coefficient (transitivity), cohesiveness, compactness, globalefficiency, heterogeneity, network centralization, network density, and network diameter of resultant networks using multiple cores on Linux/macOS based machines. For Windows based machine the parallel computing feature is not available and hence, it works in normal mode only despite providing ncore value more than one and may take more computing time.
Usage
netva(vl, net, ncore = 1)
Arguments
vl |
A character vector of node or protein names or list of vectors having two nodes (node pairs/edges) or more than two nodes. If input is vector, only one node will be deleted at once. However, if the input is list, n nodes will be deleted at once, where n is the length of each element of the list. |
net |
An igraph graph object. |
ncore |
Number of cores users want to use for the computation. |
Value
A dataframe having number of rows equal to length(vl) with fourteen columns.
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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