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>
Click any of the buttons below to cluster the network. On every push the network will be reinitialized first. You can click on a cluster to open it.
</p>
<input type="button" onclick="clusterByCid()" value="Cluster all nodes with CID = 1"> <br />
<input type="button" onclick="clusterByColor()" value="Cluster by color"> <br />
<input type="button" onclick="clusterByConnection()" value="Cluster 'node 1' by connections"> <br />
<input type="button" onclick="clusterOutliers()" value="Cluster outliers"> <br />
<input type="button" onclick="clusterByHubsize()" value="Cluster by hubsize"> <br />
<div id="mynetwork"></div>
<script type="text/javascript">
// create an array with nodes
var nodes = [
{id: 1, label: 'Node 1', color:'orange'},
{id: 2, label: 'Node 2', color:'DarkViolet', font:{color:'white'}},
{id: 3, label: 'Node 3', color:'orange'},
{id: 4, label: 'Node 4', color:'DarkViolet', font:{color:'white'}},
{id: 5, label: 'Node 5', color:'orange'},
{id: 6, label: 'cid = 1', cid:1, color:'orange'},
{id: 7, label: 'cid = 1', cid:1, color:'DarkViolet', font:{color:'white'}},
{id: 8, label: 'cid = 1', cid:1, color:'lime'},
{id: 9, label: 'cid = 1', cid:1, color:'orange'},
{id: 10, label: 'cid = 1', cid:1, color:'lime'}
];
// 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}};
var network = new vis.Network(container, data, options);
network.on("selectNode", function(params) {
if (params.nodes.length == 1) {
if (network.isCluster(params.nodes[0]) == true) {
network.openCluster(params.nodes[0])
}
}
})
function clusterByCid() {
network.setData(data);
var clusterOptionsByData = {
joinCondition:function(childOptions) {
return childOptions.cid == 1;
},
clusterNodeProperties: {id:'cidCluster', borderWidth:3, shape:'database'}
}
network.cluster(clusterOptionsByData);
}
function clusterByColor() {
network.setData(data);
var colors = ['orange','lime','DarkViolet'];
var clusterOptionsByData;
for (var i = 0; i < colors.length; i++) {
var color = colors[i];
clusterOptionsByData = {
joinCondition: function (childOptions) {
return childOptions.color.background == color; // the color is fully defined in the node.
},
processProperties: function (clusterOptions, childNodes, childEdges) {
var totalMass = 0;
for (var i = 0; i < childNodes.length; i++) {
totalMass += childNodes[i].mass;
}
clusterOptions.mass = totalMass;
return clusterOptions;
},
clusterNodeProperties: {id: 'cluster:' + color, borderWidth: 3, shape: 'database', color:color, label:'color:' + color}
}
network.cluster(clusterOptionsByData);
}
}
function clusterByConnection() {
network.setData(data);
network.clusterByConnection(1)
}
function clusterOutliers() {
network.setData(data);
network.clusterOutliers();
}
function clusterByHubsize() {
network.setData(data);
var clusterOptionsByData = {
processProperties: function(clusterOptions, childNodes) {
clusterOptions.label = "[" + childNodes.length + "]";
return clusterOptions;
},
clusterNodeProperties: {borderWidth:3, shape:'box', font:{size:30}}
}
network.clusterByHubsize(undefined, clusterOptionsByData);
}
</script>
</body>
</html>