Description Usage Arguments Examples
This function calculates the normalised criticality of each node in the network. Node criticality is derived from the resulting Strong Nash equilibrium (SNE) configuration from the block formation game.
1 2 | nodeNormCriticality(edgeList, nodeList, c, s, adjMatrix, setPS, setPower,
approximate)
|
edgeList |
A dataframe of network data within which sources are in the first column and targets are in the second column. |
nodeList |
A dataframe within which all nodes and their respective names are listed. |
c |
The cost of signalling to, and adding an, extra node to a block. |
s |
The maximum size of block that is considered within the block formation game. |
adjMatrix |
The network represented as an adjacency matrix. |
setPS |
The set of predeccessors and successors for each combination of nodes considered. |
approximate |
Should the Strong Nash Equilibrium be approximated? TRUE or FALSE. |
1 |
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