<!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.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}};
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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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								            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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								            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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