@Override
  public void execute(GraphModel graphModel, AttributeModel attributeModel) {
    // Graph graph = graphModel.getGraphVisible();
    HierarchicalGraph graph = null;
    // get visible graph
    if (directed) {
      graph = graphModel.getHierarchicalDirectedGraphVisible();
    } else {
      graph = graphModel.getHierarchicalUndirectedGraphVisible();
    }

    // lock graph
    graph.readLock();
    try {
      Progress.start(progressTicket, graph.getNodeCount());
      // all coefficients
      nodeCoefficients = new double[graph.getNodeCount()];

      // attribute column
      AttributeTable nodeTable = attributeModel.getNodeTable();
      AttributeColumn clusteringColumn = nodeTable.getColumn("newClusteringCoefficient");
      if (clusteringColumn == null) {
        clusteringColumn =
            nodeTable.addColumn(
                "newClusteringCoefficient",
                "Local Clustering Coefficient",
                AttributeType.DOUBLE,
                AttributeOrigin.COMPUTED,
                0.0);
      }

      int i = 0;
      // for each node
      for (Node e : graph.getNodes()) {
        // compute coefficient
        double coeficient = 0.0;
        double denominator = (graph.getDegree(e) * (graph.getDegree(e) - 1));
        if (!directed) {
          denominator /= 2;
        }
        double numerator = 0.0;
        // get neighbors as list
        List<Node> n2 = Arrays.asList(graph.getNeighbors(e).toArray());
        List<Node> neighbors2 = new ArrayList<Node>(n2);
        for (Node neighbor1 : graph.getNeighbors(e)) {
          neighbors2.remove(neighbor1);
          // count edges betwwen neighbors
          for (Node neighbor2 : neighbors2) {
            if (graph.getEdge(neighbor1, neighbor2) != null
                || graph.getEdge(neighbor2, neighbor1) != null) {
              numerator++;
            }
          }
        }
        // compute coefficient
        if (denominator > 0) {
          coeficient = numerator / denominator;
        } else {
          coeficient = 0.0;
        }
        averageCoefficient += coeficient;
        nodeCoefficients[i] = coeficient;
        i++;
        // set attribute
        AttributeRow row = (AttributeRow) e.getNodeData().getAttributes();
        row.setValue(clusteringColumn, coeficient);
        Progress.progress(progressTicket);
        if (cancel) {
          break;
        }
      }
      if (graph.getNodeCount() > 0) {
        averageCoefficient = averageCoefficient / graph.getNodeCount();
      }

      graph.readUnlockAll();
    } catch (Exception e) {
      e.printStackTrace();
      // Unlock graph
      graph.readUnlockAll();
    }
  }