extract_node_betweenness
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 example shows how the step can be used in a recipe.
Examples
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.
Inputs & Outputs
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
Inputs
Outputs
Outputs
A column containing the betweenness metric for each node/row.
Configuration
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).