vis.js is a dynamic, browser-based visualization library
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<!doctype html>
<html>
<head>
<title>Network | Clustering</title>
<script type="text/javascript" src="../../../dist/vis.js"></script>
<link href="../../../dist/vis.css" rel="stylesheet" type="text/css"/>
<style type="text/css">
#mynetwork {
width: 600px;
height: 600px;
border: 1px solid lightgray;
}
p {
max-width: 600px;
}
h4 {
margin-bottom: 3px;
}
</style>
<script src="../../googleAnalytics.js"></script>
</head>
<body>
<p>
You can zoom in and out to cluster/decluster.
</p>
Stabilize when clustering:<input type="checkbox" id="stabilizeCheckbox">
<div id="mynetwork"></div>
<script type="text/javascript">
var clusterIndex = 0;
var clusters = [];
var lastClusterZoomLevel = 0;
var clusterFactor = 0.9;
// create an array with nodes
var nodes = [
{id: 1, label: 'Node 1'},
{id: 2, label: 'Node 2'},
{id: 3, label: 'Node 3'},
{id: 4, label: 'Node 4'},
{id: 5, label: 'Node 5'},
{id: 6, label: 'Node 6'},
{id: 7, label: 'Node 7'},
{id: 8, label: 'Node 8'},
{id: 9, label: 'Node 9'},
{id: 10, label: 'Node 10'}
];
// create an array with edges
var edges = [
{from: 1, to: 2},
{from: 1, to: 3},
{from: 10, to: 4},
{from: 2, to: 5},
{from: 6, to: 2},
{from: 7, to: 5},
{from: 8, to: 6},
{from: 9, to: 7},
{from: 10, to: 9}
];
// create a network
var container = document.getElementById('mynetwork');
var data = {
nodes: nodes,
edges: edges
};
var options = {layout: {randomSeed: 8}, physics:{adaptiveTimestep:false}};
var network = new vis.Network(container, data, options);
// set the first initial zoom level
network.once('initRedraw', function() {
if (lastClusterZoomLevel === 0) {
lastClusterZoomLevel = network.getScale();
}
});
// we use the zoom event for our clustering
network.on('zoom', function (params) {
if (params.direction == '-') {
if (params.scale < lastClusterZoomLevel*clusterFactor) {
makeClusters(params.scale);
lastClusterZoomLevel = params.scale;
}
}
else {
openClusters(params.scale);
}
});
// if we click on a node, we want to open it up!
network.on("selectNode", function (params) {
if (params.nodes.length == 1) {
if (network.isCluster(params.nodes[0]) == true) {
network.openCluster(params.nodes[0])
}
}
});
// make the clusters
function makeClusters(scale) {
var clusterOptionsByData = {
processProperties: function (clusterOptions, childNodes) {
clusterIndex = clusterIndex + 1;
var childrenCount = 0;
for (var i = 0; i < childNodes.length; i++) {
childrenCount += childNodes[i].childrenCount || 1;
}
clusterOptions.childrenCount = childrenCount;
clusterOptions.label = "# " + childrenCount + "";
clusterOptions.font = {size: childrenCount*5+30}
clusterOptions.id = 'cluster:' + clusterIndex;
clusters.push({id:'cluster:' + clusterIndex, scale:scale});
return clusterOptions;
},
clusterNodeProperties: {borderWidth: 3, shape: 'database', font: {size: 30}}
}
network.clusterOutliers(clusterOptionsByData);
if (document.getElementById('stabilizeCheckbox').checked === true) {
// since we use the scale as a unique identifier, we do NOT want to fit after the stabilization
network.setOptions({physics:{stabilization:{fit: false}}});
network.stabilize();
}
}
// open them back up!
function openClusters(scale) {
var newClusters = [];
var declustered = false;
for (var i = 0; i < clusters.length; i++) {
if (clusters[i].scale < scale) {
network.openCluster(clusters[i].id);
lastClusterZoomLevel = scale;
declustered = true;
}
else {
newClusters.push(clusters[i])
}
}
clusters = newClusters;
if (declustered === true && document.getElementById('stabilizeCheckbox').checked === true) {
// since we use the scale as a unique identifier, we do NOT want to fit after the stabilization
network.setOptions({physics:{stabilization:{fit: false}}});
network.stabilize();
}
}
</script>
</body>
</html>