Extract node betweenness¶
network • graph • centrality
Calculate network node betweenness.
Calculates the betweenness centrality for each node in the network. Betweenness centrality is a measure of the number of times a node acts as a bridge along the shortest path between two other nodes.
Usage¶
The following are the step's expected inputs and outputs and their specific types.
extract_node_betweenness(
targets: list[number],
*weights: list[number],
{
"param": value
}
) -> (betweenness: number)
where the object {"param": value}
is optional in most cases and if present may contain any of the parameters described in the
corresponding section below.
Example¶
extract_node_betweenness(ds.targets, ds.weights) -> (ds.betweenness)
Inputs¶
targets: column:list[number]
A column containing link targets. Source is implied in the index.
*weights: column:list[number]
An optional column containing link weights.
Outputs¶
betweenness: column:number
A column containing the betweenness metric for each node/row.
Parameters¶
directed: boolean = False
Whether the links are directed or not.
cutoff: number | null
The maximum path length to consider when calculating the betweenness. If cutoff is zero or negative then there is no such limit.