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package chapter4.graph.visualization;
import Chapter4.util.TweetFileToGraph;
import java.awt.Dimension;
import java.awt.Shape;
import java.awt.geom.Ellipse2D;
import java.io.File;
import javax.swing.JFrame;
import org.apache.commons.collections15.Transformer;
import GraphElements.RetweetEdge;
import GraphElements.UserNode;
import edu.uci.ics.jung.algorithms.layout.KKLayout;
import edu.uci.ics.jung.algorithms.layout.Layout;
import edu.uci.ics.jung.algorithms.scoring.EigenvectorCentrality;
import edu.uci.ics.jung.graph.DirectedGraph;
import edu.uci.ics.jung.visualization.BasicVisualizationServer;
public class SimpleGraphViewer {
public static void main(String[] args){
File tweetFile;
if(args.length > 0){
tweetFile = new File(args[0]);
}
else{
tweetFile = new File("synthetic_retweet_network.json");
}
DirectedGraph<UserNode, RetweetEdge> retweetGraph = TweetFileToGraph.getRetweetNetwork(tweetFile);
/*
* Converts a node to its string representation
*/
Transformer<UserNode, String> stringer = new Transformer<UserNode, String>(){
public String transform(UserNode n){
return n.toString();
}
};
/*
* Calculate the centrality
*/
//calculate the betweenness centrality
// final InDegreeScorer<UserNode> centralityScore = new InDegreeScorer<UserNode>(retweetGraph);
// final BetweennessCentrality<UserNode, RetweetEdge> centralityScore = new BetweennessCentrality<UserNode, RetweetEdge>(retweetGraph);
// final PageRank<UserNode, RetweetEdge> centralityScore = new PageRank<UserNode, RetweetEdge>(retweetGraph, 0.85);
final EigenvectorCentrality<UserNode, RetweetEdge> centralityScore = new EigenvectorCentrality<UserNode, RetweetEdge>(retweetGraph);
centralityScore.evaluate();
double centralityMax = 0.0f;
for(UserNode node : retweetGraph.getVertices()){
centralityMax = Math.max(centralityMax, centralityScore.getVertexScore(node));
}
final double centralityMaxFinal = centralityMax;
/*
* Sizes a node by some centrality measure
*/
Transformer<UserNode, Shape> shaper = new Transformer<UserNode, Shape>(){
public Shape transform(UserNode n){
System.out.println("User: " + n.getUsername() + " Cent: " + centralityScore.getVertexScore(n) + " Max: " + centralityMaxFinal);
double radius = 50 * (centralityScore.getVertexScore(n)) / centralityMaxFinal;
radius = Math.max(radius, 5.0f);
float fRadius = (float) radius;
return new Ellipse2D.Float(-fRadius/2, -fRadius/2, fRadius, fRadius);
}
};
Layout<UserNode, RetweetEdge> layout = new KKLayout<UserNode, RetweetEdge>(retweetGraph);
layout.setSize(new Dimension(500, 500));
BasicVisualizationServer<UserNode, RetweetEdge> vv = new BasicVisualizationServer<UserNode, RetweetEdge>(layout);
vv.setPreferredSize(new Dimension(550, 550));
vv.getRenderContext().setVertexLabelTransformer(stringer);
vv.getRenderContext().setVertexShapeTransformer(shaper);
JFrame jframe = new JFrame("Simple Graph View");
jframe.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
jframe.getContentPane().add(vv);
jframe.pack();
jframe.setVisible(true);
}
}
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