extract_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.

​

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").

​

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).