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