geovista.network.gui.ClusteringDemo.java Source code

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Here is the source code for geovista.network.gui.ClusteringDemo.java

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/*
 * Copyright (c) 2003, the JUNG Project and the Regents of the University
 * of California
 * All rights reserved.
 *
 * This software is open-source under the BSD license; see either
 * "license.txt" or
 * http://jung.sourceforge.net/license.txt for a description.
 */
package geovista.network.gui;

import java.awt.BasicStroke;
import java.awt.BorderLayout;
import java.awt.Color;
import java.awt.Container;
import java.awt.Dimension;
import java.awt.GridLayout;
import java.awt.Paint;
import java.awt.Stroke;
import java.awt.event.ItemEvent;
import java.awt.event.ItemListener;
import java.awt.geom.Point2D;
import java.io.IOException;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Set;

import javax.swing.BorderFactory;
import javax.swing.Box;
import javax.swing.JApplet;
import javax.swing.JFrame;
import javax.swing.JPanel;
import javax.swing.JSlider;
import javax.swing.JToggleButton;
import javax.swing.border.TitledBorder;
import javax.swing.event.ChangeEvent;
import javax.swing.event.ChangeListener;

import org.apache.commons.collections15.Transformer;
import org.apache.commons.collections15.functors.ConstantTransformer;
import org.apache.commons.collections15.functors.MapTransformer;
import org.apache.commons.collections15.map.LazyMap;

import edu.uci.ics.jung.algorithms.cluster.EdgeBetweennessClusterer;
import edu.uci.ics.jung.algorithms.layout.AggregateLayout;
import edu.uci.ics.jung.algorithms.layout.CircleLayout;
import edu.uci.ics.jung.algorithms.layout.FRLayout;
import edu.uci.ics.jung.algorithms.layout.Layout;
import edu.uci.ics.jung.graph.Graph;
import edu.uci.ics.jung.graph.SparseMultigraph;
import edu.uci.ics.jung.visualization.GraphZoomScrollPane;
import edu.uci.ics.jung.visualization.VisualizationViewer;

/**
 * This simple app demonstrates how one can use our algorithms and visualization
 * libraries in unison. In this case, we generate use the Zachary karate club
 * data set, widely known in the social networks literature, then we cluster the
 * vertices using an edge-betweenness clusterer, and finally we visualize the
 * graph using Fruchtermain-Rheingold layout and provide a slider so that the
 * user can adjust the clustering granularity.
 * 
 * @author Scott White
 */
@SuppressWarnings("serial")
public class ClusteringDemo extends JApplet {

    VisualizationViewer<Integer, Number> vv;

    // Factory<Graph<Number,Number>> graphFactory;

    Map<Integer, Paint> vertexPaints = LazyMap.<Integer, Paint>decorate(new HashMap<Integer, Paint>(),
            new ConstantTransformer(Color.white));
    Map<Number, Paint> edgePaints = LazyMap.<Number, Paint>decorate(new HashMap<Number, Paint>(),
            new ConstantTransformer(Color.blue));
    AggregateLayout<Integer, Number> layout;

    public final Color[] similarColors = { new Color(216, 134, 134), new Color(135, 137, 211),
            new Color(134, 206, 189), new Color(206, 176, 134), new Color(194, 204, 134), new Color(145, 214, 134),
            new Color(133, 178, 209), new Color(103, 148, 255), new Color(60, 220, 220), new Color(30, 250, 100) };

    Graph<Integer, Number> g;

    public static void main(String[] args) throws IOException {

        ClusteringDemo cd = new ClusteringDemo();
        cd.start();
        // Add a restart button so the graph can be redrawn to fit the size of
        // the frame
        JFrame jf = new JFrame();
        jf.getContentPane().add(cd);

        jf.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
        jf.pack();
        jf.setVisible(true);
    }

    @Override
    public void start() {
        ReadMatrix rm = new ReadMatrix();
        /**
         * try { g = rm .readMatrixtoGraph(
         * "C:\\Users\\weiluo\\Desktop\\Work with Chanda\\PoliticalBorderNileBasinReorderCorrected.txt"
         * ); } catch (IOException e1) { // TODO Auto-generated catch block
         * e1.printStackTrace(); }
         **/
        try {
            setUpView();
        } catch (IOException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }
        /*
         * InputStream is =
         * this.getClass().getClassLoader().getResourceAsStream(
         * "datasets/zachary.net"); BufferedReader br = new BufferedReader( new
         * InputStreamReader( is ));
         * 
         * try { setUpView(br); } catch (IOException e) {
         * System.out.println("Error in loading graph"); e.printStackTrace(); }
         */
    }

    private void setUpView() throws IOException {

        /*
         * Factory<Integer> vertexFactory = new Factory<Integer>() { int n = 0;
         * public Integer create() { return n++; } }; Factory<Number>
         * edgeFactory = new Factory<Number>() { int n = 0; public Number
         * create() { return n++; } };
         */

        /*
         * PajekNetReader<Graph<Integer, Number>, Integer,Number> pnr = new
         * PajekNetReader<Graph<Integer, Number>, Integer,Number>(vertexFactory,
         * edgeFactory);
         * 
         * final Graph<Integer,Number> graph = new SparseMultigraph<Integer,
         * Number>();
         * 
         * pnr.load(br, graph);
         */

        // Create a simple layout frame
        // specify the Fruchterman-Rheingold layout algorithm
        layout = new AggregateLayout<Integer, Number>(new FRLayout<Integer, Number>(g));

        vv = new VisualizationViewer<Integer, Number>(layout);
        vv.setBackground(Color.white);
        // Tell the renderer to use our own customized color rendering
        vv.getRenderContext()
                .setVertexFillPaintTransformer(MapTransformer.<Integer, Paint>getInstance(vertexPaints));
        vv.getRenderContext().setVertexDrawPaintTransformer(new Transformer<Integer, Paint>() {
            public Paint transform(Integer v) {
                if (vv.getPickedVertexState().isPicked(v)) {
                    return Color.blue;
                } else {
                    return Color.BLACK;
                }
            }
        });

        vv.getRenderContext().setEdgeDrawPaintTransformer(MapTransformer.<Number, Paint>getInstance(edgePaints));

        vv.getRenderContext().setEdgeStrokeTransformer(new Transformer<Number, Stroke>() {
            protected final Stroke THIN = new BasicStroke(1);
            protected final Stroke THICK = new BasicStroke(2);

            public Stroke transform(Number e) {
                Paint c = edgePaints.get(e);
                if (c == Color.LIGHT_GRAY) {
                    return THIN;
                } else {
                    return THICK;
                }
            }
        });

        /*
         * //add restart button JButton scramble = new JButton("Restart");
         * scramble.addActionListener(new ActionListener() { public void
         * actionPerformed(ActionEvent arg0) { Layout layout =
         * vv.getGraphLayout(); layout.initialize(); Relaxer relaxer =
         * vv.getModel().getRelaxer(); if(relaxer != null) { relaxer.stop();
         * relaxer.prerelax(); relaxer.relax(); } }
         * 
         * });
         * 
         * DefaultModalGraphMouse gm = new DefaultModalGraphMouse();
         * vv.setGraphMouse(gm);
         */

        final JToggleButton groupVertices = new JToggleButton("Group Clusters");

        // Create slider to adjust the number of edges to remove when clustering
        final JSlider edgeBetweennessSlider = new JSlider(JSlider.HORIZONTAL);
        edgeBetweennessSlider.setBackground(Color.WHITE);
        edgeBetweennessSlider.setPreferredSize(new Dimension(210, 50));
        edgeBetweennessSlider.setPaintTicks(true);
        edgeBetweennessSlider.setMaximum(g.getEdgeCount());
        edgeBetweennessSlider.setMinimum(0);
        edgeBetweennessSlider.setValue(0);
        edgeBetweennessSlider.setMajorTickSpacing(10);
        edgeBetweennessSlider.setPaintLabels(true);
        edgeBetweennessSlider.setPaintTicks(true);

        // edgeBetweennessSlider.setBorder(BorderFactory.createLineBorder(Color.black));
        // TO DO: edgeBetweennessSlider.add(new
        // JLabel("Node Size (PageRank With Priors):"));
        // I also want the slider value to appear
        final JPanel eastControls = new JPanel();
        /*
         * eastControls.setOpaque(true); eastControls.setLayout(new
         * BoxLayout(eastControls, BoxLayout.Y_AXIS));
         * eastControls.add(Box.createVerticalGlue());
         */
        // eastControls.add(edgeBetweennessSlider);

        final Box cluster_panel = Box.createVerticalBox();
        cluster_panel.setBorder(BorderFactory.createTitledBorder("Cluster"));
        cluster_panel.add(edgeBetweennessSlider);

        final String COMMANDSTRING = "Edges removed for clusters: ";
        final String eastSize = COMMANDSTRING + edgeBetweennessSlider.getValue();

        final TitledBorder sliderBorder = BorderFactory.createTitledBorder(eastSize);
        /*
         * eastControls.setBorder(sliderBorder); //eastControls.add(eastSize);
         * eastControls.add(Box.createVerticalGlue());
         */

        groupVertices.addItemListener(new ItemListener() {
            public void itemStateChanged(ItemEvent e) {
                clusterAndRecolor(layout, edgeBetweennessSlider.getValue(), similarColors,
                        e.getStateChange() == ItemEvent.SELECTED);
                vv.repaint();
            }
        });

        clusterAndRecolor(layout, 0, similarColors, groupVertices.isSelected());

        edgeBetweennessSlider.addChangeListener(new ChangeListener() {
            public void stateChanged(ChangeEvent e) {
                JSlider source = (JSlider) e.getSource();
                if (!source.getValueIsAdjusting()) {
                    int numEdgesToRemove = source.getValue();
                    clusterAndRecolor(layout, numEdgesToRemove, similarColors, groupVertices.isSelected());
                    sliderBorder.setTitle(COMMANDSTRING + edgeBetweennessSlider.getValue());
                    eastControls.repaint();
                    vv.validate();
                    vv.repaint();
                }
            }
        });

        cluster_panel.add(groupVertices);
        Container content = getContentPane();
        content.add(new GraphZoomScrollPane(vv));
        JPanel south = new JPanel();
        JPanel grid = new JPanel(new GridLayout(2, 1));
        // grid.add(scramble);
        grid.add(cluster_panel);
        // south.add
        south.add(grid);
        south.add(eastControls);
        JPanel p = new JPanel();
        // p.setBorder(BorderFactory.createTitledBorder("Mouse Mode"));
        // p.add(gm.getModeComboBox());
        south.add(p);

        content.add(south, BorderLayout.SOUTH);
    }

    public void clusterAndRecolor(AggregateLayout<Integer, Number> layout, int numEdgesToRemove, Color[] colors,
            boolean groupClusters) {
        // Now cluster the vertices by removing the top 50 edges with highest
        // betweenness
        // if (numEdgesToRemove == 0) {
        // colorCluster( g.getVertices(), colors[0] );
        // } else {

        Graph<Integer, Number> g = layout.getGraph();
        layout.removeAll();

        EdgeBetweennessClusterer<Integer, Number> clusterer = new EdgeBetweennessClusterer<Integer, Number>(
                numEdgesToRemove);
        Set<Set<Integer>> clusterSet = clusterer.transform(g);
        List<Number> edges = clusterer.getEdgesRemoved();

        int i = 0;
        // Set the colors of each node so that each cluster's vertices have the
        // same color
        for (Set<Integer> vertices : clusterSet) {

            Color c = colors[i % colors.length];

            colorCluster(vertices, c);
            if (groupClusters == true) {
                groupCluster(layout, vertices);
            }
            i++;
        }
        for (Number e : g.getEdges()) {

            if (edges.contains(e)) {
                edgePaints.put(e, Color.lightGray);
            } else {
                edgePaints.put(e, Color.black);
            }
        }

    }

    private void colorCluster(Set<Integer> vertices, Color c) {
        for (Integer v : vertices) {
            vertexPaints.put(v, c);
        }
    }

    private void groupCluster(AggregateLayout<Integer, Number> layout, Set<Integer> vertices) {
        if (vertices.size() < layout.getGraph().getVertexCount()) {
            Point2D center = layout.transform(vertices.iterator().next());
            Graph<Integer, Number> subGraph = SparseMultigraph.<Integer, Number>getFactory().create();
            for (Integer v : vertices) {
                subGraph.addVertex(v);
            }
            Layout<Integer, Number> subLayout = new CircleLayout<Integer, Number>(subGraph);
            subLayout.setInitializer(vv.getGraphLayout());
            subLayout.setSize(new Dimension(40, 40));

            layout.put(subLayout, center);
            vv.repaint();
        }
    }
}