graphx betweeness

Betweenness centrality is a measure of the importance of a node in a graph, based on the number of shortest paths that pass through that node. In GraphX, you can calculate the betweenness centrality using the `BetweennessCentrality.run` method, which takes in a Graph object and returns a DataFrame containing the betweenness centrality scores for each vertex.

Here's an example of how to calculate the betweenness centrality in GraphX:

import org.apache.spark.graphx._
import org.apache.spark.rdd.RDD

val graph: Graph[Double, Int] = // create your graph

val bc = BetweennessCentrality.run(graph)

bc.show()

This will print out a DataFrame containing the betweenness centrality scores for each vertex in the graph.