docs: @Override
  	public AverageClusteringCoefficient<K, VV, EV> run(Graph<K, VV, EV> input)
  			throws Exception {
  		super.run(input);
  
  		DataSet<LocalClusteringCoefficient.Result<K>> localClusteringCoefficient = input
  			.run(new LocalClusteringCoefficient<K, VV, EV>()
  				.setParallelism(parallelism));
  
  		averageClusteringCoefficientHelper = new AverageClusteringCoefficientHelper<>();
  
  		localClusteringCoefficient
  			.output(averageClusteringCoefficientHelper)
  				.name("Average clustering coefficient");
  
  		return this;
  	}