sigma.utils.pkg('sigma.canvas.nodes'); sigma.canvas.nodes.image = (function() { var _cache = {}, _loading = {}, _callbacks = {}; // Return the renderer itself: var renderer = function(node, context, settings) { var args = arguments, prefix = settings('prefix') || '', size = node[prefix + 'size'], color = node.color || settings('defaultNodeColor'), url = node.url; if (_cache[url]) { context.save(); // Draw the clipping disc: context.beginPath(); context.arc( node[prefix + 'x'], node[prefix + 'y'], node[prefix + 'size'], 0, Math.PI * 2, true ); context.closePath(); context.clip(); // Draw the image context.drawImage( _cache[url], node[prefix + 'x'] - size, node[prefix + 'y'] - size, 2 * size, 2 * size ); // Quit the "clipping mode": context.restore(); // Draw the border: context.beginPath(); context.arc( node[prefix + 'x'], node[prefix + 'y'], node[prefix + 'size'], 0, Math.PI * 2, true ); context.lineWidth = 1; context.strokeStyle = node.color || settings('defaultNodeColor'); context.stroke(); } else { sigma.canvas.nodes.image.cache(url); sigma.canvas.nodes.def.apply( sigma.canvas.nodes, args ); } }; // Let's add a public method to cache images, to make it possible to // preload images before the initial rendering: renderer.cache = function(url, callback) { if (callback) _callbacks[url] = callback; if (_loading[url]) return; var img = new Image(); img.onload = function() { _loading[url] = false; _cache[url] = img; if (_callbacks[url]) { _callbacks[url].call(this, img); delete _callbacks[url]; } }; _loading[url] = true; img.src = url; }; return renderer; })(); var i, s, o, offset_left = 0.5, N = 1, E = 40, C = 5, d = 0.5, cs = [], g = { nodes: [], edges: [] }; if (!sigma.classes.graph.hasMethod('neighbors')){ sigma.classes.graph.addMethod('neighbors', function(nodeId) { var k, neighbors = {}, index = this.allNeighborsIndex[nodeId] || {}; for (k in index) neighbors[k] = this.nodesIndex[k]; return neighbors; }); } //adding the central node g.nodes.push({ id: 234141, label: 'Matthieu Najm', type: 'image', url: '', x: 0, y: 0, size: 30, color: '#DDDDDD' }); var biggest_node_size = 0; N=1 // adding node var x_node = Math.cos(2 * 0 * Math.PI / N) * 10; var y_node = Math.sin(2 * 0 * Math.PI / N) * 10; g.nodes.push({ id: 6124, label: 'TEAM: Computational Systems Biomedicine', x: x_node, y: y_node, type: 'image', url: 'https://research.pasteur.fr/wp-content/uploads/2015/06/research.pasteur.fr_system-biology1-150x150.jpg', page_url: 'https://research.pasteur.fr/en/team/csb/', size: 35, color: '#DDDDDD' }); //link content to central post g.edges.push({ id: 2341416124, size: 0.5, source: 234141, target: 6124, }); //check if content already exist if (x_node<0){ x_site = x_node + ((Math.random() * 2)-1) - offset_left; }else{ x_site = x_node + ((Math.random() * 2)-1) + offset_left; } if (y_node<0){ y_site = y_node + ((Math.random() * 2)-1) - offset_left; }else{ y_site = y_node + ((Math.random() * 2)-1) + offset_left; } // adding site g.nodes.push({ id: 234138, label: 'Marko Baric', type: 'image', url: 'https://research.pasteur.fr/wp-content/uploads/2024/11/research_pasteur-enmarko-baricfrmarko-baric-img-02011-150x150.jpeg', page_url: 'https://research.pasteur.fr/en/member/marko-baric/', x: x_site, y: y_site, size: 10, color: '#dddddd' }); //link to content g.edges.push({ id: 6124234138, size: 0.5, source: 6124, target: 234138 }); //check if content already exist if (x_node<0){ x_site = x_node + ((Math.random() * 2)-1) - offset_left; }else{ x_site = x_node + ((Math.random() * 2)-1) + offset_left; } if (y_node<0){ y_site = y_node + ((Math.random() * 2)-1) - offset_left; }else{ y_site = y_node + ((Math.random() * 2)-1) + offset_left; } // adding site g.nodes.push({ id: 158063, label: 'Johann Dreo', type: 'image', url: 'https://research.pasteur.fr/wp-content/uploads/2021/04/research_pasteur-johann-dreo-img-7846-profil-640px-150x150.jpg', page_url: 'https://research.pasteur.fr/en/member/johann-dreo/', x: x_site, y: y_site, size: 10, color: '#dddddd' }); //link to content g.edges.push({ id: 6124158063, size: 0.5, source: 6124, target: 158063 }); //check if content already exist if (x_node<0){ x_site = x_node + ((Math.random() * 2)-1) - offset_left; }else{ x_site = x_node + ((Math.random() * 2)-1) + offset_left; } if (y_node<0){ y_site = y_node + ((Math.random() * 2)-1) - offset_left; }else{ y_site = y_node + ((Math.random() * 2)-1) + offset_left; } // adding site g.nodes.push({ id: 169942, label: 'Océane Fourquet', type: 'image', url: 'https://research.pasteur.fr/wp-content/uploads/2021/10/research_pasteur-oceane-fourquet-received-10565179785690541-150x150.jpeg', page_url: 'https://research.pasteur.fr/en/member/oceane-fourquet/', x: x_site, y: y_site, size: 10, color: '#dddddd' }); //link to content g.edges.push({ id: 6124169942, size: 0.5, source: 6124, target: 169942 }); //check if content already exist // update node size depending on the amount of edges g.nodes.forEach(function(n) { if (n.id == 234141) { n.size = n.size + 8; } }); //link to content g.edges.push({ id: 6124234141, size: 0.5, source: 6124, target: 234141 }); //check if content already exist if (x_node<0){ x_site = x_node + ((Math.random() * 2)-1) - offset_left; }else{ x_site = x_node + ((Math.random() * 2)-1) + offset_left; } if (y_node<0){ y_site = y_node + ((Math.random() * 2)-1) - offset_left; }else{ y_site = y_node + ((Math.random() * 2)-1) + offset_left; } // adding site g.nodes.push({ id: 169931, label: 'Mara Santarelli', type: 'image', url: 'https://research.pasteur.fr/wp-content/uploads/2021/10/research_pasteur-mara-santarelli-img-7545-1-150x150.jpg', page_url: 'https://research.pasteur.fr/en/member/mara-santarelli/', x: x_site, y: y_site, size: 10, color: '#dddddd' }); //link to content g.edges.push({ id: 6124169931, size: 0.5, source: 6124, target: 169931 }); //check if content already exist if (x_node<0){ x_site = x_node + ((Math.random() * 2)-1) - offset_left; }else{ x_site = x_node + ((Math.random() * 2)-1) + offset_left; } if (y_node<0){ y_site = y_node + ((Math.random() * 2)-1) - offset_left; }else{ y_site = y_node + ((Math.random() * 2)-1) + offset_left; } // adding site g.nodes.push({ id: 4832, label: 'Benno Schwikowski', type: 'image', url: 'https://research.pasteur.fr/wp-content/uploads/2015/06/research.pasteur.fr_photo-3-150x150.jpg', page_url: 'https://research.pasteur.fr/en/member/benno-schwikowski/', x: x_site, y: y_site, size: 10, color: '#dddddd' }); //link to content g.edges.push({ id: 61244832, size: 0.5, source: 6124, target: 4832 }); var s = new sigma({ //container: document.getElementById('graph-main'), graph: g, renderer: { // IMPORTANT: // This works only with the canvas renderer, so the // renderer type set as "canvas" is necessary here. container: document.getElementById('graph-main'), type: 'canvas' }, settings: { minNodeSize: 6, maxNodeSize: 35, mouseWheelEnabled: false, font: 'Montserrat', labelThreshold:25, borderSize:1, defaultNodeBorderColor: '#999', sideMargin:25, } }); // We first need to save the original colors of our // nodes and edges, like this: s.graph.nodes().forEach(function(n) { n.originalColor = n.color; }); s.graph.edges().forEach(function(e) { e.originalColor = e.color; }); // When a node is clicked, we check for each node // if it is a neighbor of the clicked one. If not, // we set its color as grey, and else, it takes its // original color. // We do the same for the edges, and we only keep // edges that have both extremities colored. s.bind('clickNode', function(e) { var nodeId = e.data.node.id, toKeep = s.graph.neighbors(nodeId); toKeep[nodeId] = e.data.node; s.graph.nodes().forEach(function(n) { if (toKeep[n.id]) n.color = '#35a9f5'; else n.color = '#dddddd'; }); s.graph.edges().forEach(function(e) { if (toKeep[e.source] && toKeep[e.target]) e.color = '#35a9f5'; else e.color = '#dddddd'; }); // Since the data has been modified, we need to // call the refresh method to make the colors // update effective. s.refresh(); }); // When the stage is clicked, we just color each // node and edge with its original color. s.bind('clickStage', function(e) { s.graph.nodes().forEach(function(n) { n.color = n.originalColor; }); s.graph.edges().forEach(function(e) { e.color = e.originalColor; }); // Same as in the previous event: s.refresh(); }); s.bind("doubleClickNode", function (e) { $("#canvas-wrap, .sigma-scene, .sigma-mouse").val(); ajax_load_page( e.data.node.page_url ); }); var c = s.camera; s.bind("rightClickStage", function (e) { sigma.misc.animation.camera(c, { ratio: c.ratio * c.settings('zoomingRatio') }, { duration: 200 }); }); // Configure the noverlap layout: var noverlapListener = s.configNoverlap({ nodeMargin: 10, scaleNodes: 0.3, gridSize: 1, easing: 'quadraticInOut', // animation transition function duration: 4000 // animation duration. Long here for the purposes of this example only }); // Bind the events: noverlapListener.bind('start stop interpolate', function(e) { //console.log(e.type); if(e.type === 'start') { //console.time('noverlap'); } if(e.type === 'interpolate') { //console.timeEnd('noverlap'); } }); // Start the layout: s.startNoverlap(); //s.refresh(); // Initialize the dragNodes plugin: var dragListener = sigma.plugins.dragNodes(s, s.renderers[0]); dragListener.bind('startdrag', function(event) { }); dragListener.bind('drag', function(event) { }); dragListener.bind('drop', function(event) { }); dragListener.bind('dragend', function(event) { });