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.
The following example shows how the step can be used in a recipe.
Examples
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
The following are the inputs expected by the step and the outputs it produces. These are generally
columns (ds.first_name
), datasets (ds
or ds[["first_name", "last_name"]]
) or models (referenced
by name e.g. "churn-clf"
).
Inputs
Outputs
A column containing the betweenness metric for each node/row.
The following parameters can be used to configure the behaviour of the step by including them in
a json object as the last “input” to the step, i.e. step(..., {"param": "value", ...}) -> (output)
.
Parameters