detectINs: Identify all possible Influential nodes (INs) based on pareto...
In kr-swapnil/NetVA: An R package for network vulnerability and influence analysis
detectINs R Documentation
Identify all possible Influential nodes (INs) based on pareto principle of 80:20 rule (by default) for a given network
Description
Identify all possible Influential nodes (INs) based on pareto principle of 80:20 rule (by default) for a given network
Usage
detectINs(net, p = 20)
Arguments
net
An igraph graph object.
p
Value of percent of nodes to be considered for the determination of EVC/EVC+ cutoff. By default value is 20%.
Value
A list containing two vectors: (1) ins.evc - all possible Influential nodes based on EVC, (2) ins.evcplus - all possible
Influential nodes based on EVC+ as identified in the given network.
kr-swapnil/NetVA documentation built on April 15, 2024, 8:32 p.m.
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| detectINs | R Documentation |
Identify all possible Influential nodes (INs) based on pareto principle of 80:20 rule (by default) for a given network
Description
Identify all possible Influential nodes (INs) based on pareto principle of 80:20 rule (by default) for a given network
Usage
detectINs(net, p = 20)
Arguments
net |
An igraph graph object. |
p |
Value of percent of nodes to be considered for the determination of EVC/EVC+ cutoff. By default value is 20%. |
Value
A list containing two vectors: (1) ins.evc - all possible Influential nodes based on EVC, (2) ins.evcplus - all possible Influential nodes based on EVC+ as identified in the given network.
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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