List of usage examples for javax.swing JApplet subclass-usage
From source file UNUSED.JUNGsamples.AnimatingAddNodeDemo.java
/** * A variation of AddNodeDemo that animates transitions between graph states. * * @author Tom Nelson */ public class AnimatingAddNodeDemo extends javax.swing.JApplet {
From source file edu.caltechUcla.sselCassel.projects.jMarkets.server.control.MonitorApplet.java
/** * * @author Raj */ public class MonitorApplet extends JApplet implements MonitorControl {
From source file GrafosTroleBus.java
/**
* Shows a graph overlaid on a world map image.
* Scaling of the graph also scales the image background.
* @author Tom Nelson
*
*/
From source file edu.uci.ics.jung.samples.AnimatingAddNodeDemo.java
/** * A variation of AddNodeDemo that animates transitions between graph states. * * @author Tom Nelson */ public class AnimatingAddNodeDemo extends javax.swing.JApplet {
From source file GetImage.java
/** * This program, which can be an Applet or an Application, shows a form of * Toolkit.getImage() which works the same in either Applet or Application! */ public class GetImage extends JApplet {
From source file com.google.code.facebook.graph.sna.applet.AnimatingAddNodeDemo.java
/** * A variation of AddNodeDemo that animates transitions between graph states. * * @author Tom Nelson */ public class AnimatingAddNodeDemo extends javax.swing.JApplet {
From source file fr.insalyon.creatis.vip.vipcoworkapplet.Cowork.java
/** * Hello world! * */ public class Cowork extends javax.swing.JApplet {
From source file main.AddNodeDemo.java
/** * Demonstrates visualization of a graph being actively updated. * * @author danyelf */ public class AddNodeDemo extends javax.swing.JApplet {
From source file Starry.java
public class Starry extends JApplet { public void init() { Image starry = new ImageIcon("yourFile.gif").getImage(); StarPanel starPanel = new StarPanel(starry); getContentPane().add(starPanel, BorderLayout.CENTER); }
From source file geovista.network.gui.ClusteringDemo.java
/**
* 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