GUIDE
- Left-click and drag the background to move the graph
- Left-click and drag the nodes to reorganize
- Left-click a node to view first level connections
- Double left-click a node to navigate to its page
- Double left-click the background to zoom in
- Right-click the background to zoom out
// graph team
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: 68286,
label: 'Archivé: Circuits neuronaux de la navigation et de la mémoire spatiales',
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2016/05/research.pasteur.fr_bandeau2-150x150.jpg',
x: 0,
y: 0,
size: 30,
color: '#DDDDDD'
});
N=1
var x_node = Math.cos(2 * 0 * Math.PI / N) * 2;
var y_node = Math.sin(2 * 0 * Math.PI / N) * 2;
var biggest_node_size = 0;
//check if content already exist
x_site = Math.cos(2 * 0 * Math.PI / N) * 2;
y_site = Math.sin(2 * 0 * Math.PI / N) * 2;
// adding site
g.nodes.push({
id: 83422,
label: 'Ruy Gómez Ocádiz',
type: 'image',
url: '',
page_url: 'https://research.pasteur.fr/fr/?post_type=member&p=83422',
x: x_site,
y: y_site,
size: 16,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 6828683422,
size: 0.5,
source: 68286,
target: 83422 });
// update positions
x_node = Math.cos(2 * 0 * Math.PI / N) * 10;
y_node = Math.sin(2 * 0 * Math.PI / N) * 10;
N=14
// 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: 187868,
label: 'NEWS: A switch telling the brain when to learn and when to remember',
x: x_node,
y: y_node,
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2022/09/research_pasteur-a-switch-telling-the-brain-when-to-learn-and-when-to-remember-screenshot-2022-08-08-14-27-57-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/news/a-switch-telling-the-brain-when-to-learn-and-when-to-remember/',
size: 24,
color: '#DDDDDD'
});
//link content to central post
g.edges.push({
id: 68286187868,
size: 0.5,
source: 68286,
target: 187868 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 83422) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 18786883422,
size: 0.5,
source: 187868,
target: 83422 });
//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: 85059,
label: 'Chunlei Zhang',
type: 'image',
url: '',
page_url: 'https://research.pasteur.fr/fr/?post_type=member&p=85059',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 18786885059,
size: 0.5,
source: 187868,
target: 85059 });
//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: 68280,
label: 'Archivé: Christoph Schmidt-Hieber',
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2016/04/research.pasteur.fr_headshot_800-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/?post_type=member&p=68280',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 18786868280,
size: 0.5,
source: 187868,
target: 68280 });
// adding node
var x_node = Math.cos(2 * 1 * Math.PI / N) * 10;
var y_node = Math.sin(2 * 1 * Math.PI / N) * 10;
g.nodes.push({
id: 186545,
label: 'EVENT: Neuroscience Seminar Series : “How does food availability impact energy usage and coding precision in neocortex?”',
x: x_node,
y: y_node,
type: 'image',
url: '',
page_url: 'https://research.pasteur.fr/fr/event/neuroscience-seminar-series-how-does-food-availability-impact-energy-usage-and-coding-precision-in-neocortex/',
size: 24,
color: '#DDDDDD'
});
//link content to central post
g.edges.push({
id: 68286186545,
size: 0.5,
source: 68286,
target: 186545 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 68280) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 18654568280,
size: 0.5,
source: 186545,
target: 68280 });
// adding node
var x_node = Math.cos(2 * 2 * Math.PI / N) * 10;
var y_node = Math.sin(2 * 2 * Math.PI / N) * 10;
g.nodes.push({
id: 172448,
label: 'NEWS: Virtual reality helps explore how the brain initiates movements',
x: x_node,
y: y_node,
type: 'image',
url: '',
page_url: 'https://research.pasteur.fr/fr/news/virtual-reality-helps-explore-how-the-brain-initiates-movements/',
size: 24,
color: '#DDDDDD'
});
//link content to central post
g.edges.push({
id: 68286172448,
size: 0.5,
source: 68286,
target: 172448 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 68280) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 17244868280,
size: 0.5,
source: 172448,
target: 68280 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 85059) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 17244885059,
size: 0.5,
source: 172448,
target: 85059 });
//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: 3801,
label: 'Uwe Maskos',
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2015/12/research.pasteur.fr_um_1-3-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/member/uwe-maskos/',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 1724483801,
size: 0.5,
source: 172448,
target: 3801 });
//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: 82201,
label: 'Manuela Allegra',
type: 'image',
url: '',
page_url: 'https://research.pasteur.fr/fr/?post_type=member&p=82201',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 17244882201,
size: 0.5,
source: 172448,
target: 82201 });
//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: 74512,
label: 'Jean-Pierre Changeux',
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2016/07/research.pasteur.fr_jpchangeux-small-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/member/jean-pierre-changeux/',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 17244874512,
size: 0.5,
source: 172448,
target: 74512 });
//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: 162993,
label: 'Cantin Ortiz',
type: 'image',
url: '',
page_url: 'https://research.pasteur.fr/fr/?post_type=member&p=162993',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 172448162993,
size: 0.5,
source: 172448,
target: 162993 });
// adding node
var x_node = Math.cos(2 * 3 * Math.PI / N) * 10;
var y_node = Math.sin(2 * 3 * Math.PI / N) * 10;
g.nodes.push({
id: 169575,
label: 'EVENT: PhD Thesis Defence – Transformation of spatial representations along the mouse hippocampal circuits',
x: x_node,
y: y_node,
type: 'image',
url: '',
page_url: 'https://research.pasteur.fr/fr/event/phd-thesis-defence-transformation-of-spatial-representations-along-the-mouse-hippocampal-circuits/',
size: 24,
color: '#DDDDDD'
});
//link content to central post
g.edges.push({
id: 68286169575,
size: 0.5,
source: 68286,
target: 169575 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 68280) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 16957568280,
size: 0.5,
source: 169575,
target: 68280 });
// adding node
var x_node = Math.cos(2 * 4 * Math.PI / N) * 10;
var y_node = Math.sin(2 * 4 * Math.PI / N) * 10;
g.nodes.push({
id: 169552,
label: 'EVENT: PhD thesis defence – Synaptic integration in dentate gyrus granule cells during behavioural dicrimination in mice navigating in virtual reality',
x: x_node,
y: y_node,
type: 'image',
url: '',
page_url: 'https://research.pasteur.fr/fr/event/phd-thesis-defence-synaptic-integration-in-dentate-gyrus-granule-cells-during-behavioural-dicrimination-in-mice-navigating-in-virtual-reality/',
size: 24,
color: '#DDDDDD'
});
//link content to central post
g.edges.push({
id: 68286169552,
size: 0.5,
source: 68286,
target: 169552 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 68280) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 16955268280,
size: 0.5,
source: 169552,
target: 68280 });
// adding node
var x_node = Math.cos(2 * 5 * Math.PI / N) * 10;
var y_node = Math.sin(2 * 5 * Math.PI / N) * 10;
g.nodes.push({
id: 158515,
label: 'EVENT: Neuroscience Seminar Series : Pr Hailan HU “From Pecking Order to Ketamine – Neural mechanisms of social and emotional behaviors”',
x: x_node,
y: y_node,
type: 'image',
url: '',
page_url: 'https://research.pasteur.fr/fr/event/neuroscience-seminar-series-pr-hailan-hu-from-pecking-order-to-ketamine-neural-mechanisms-of-social-and-emotional-behaviors/',
size: 24,
color: '#DDDDDD'
});
//link content to central post
g.edges.push({
id: 68286158515,
size: 0.5,
source: 68286,
target: 158515 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 85059) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 15851585059,
size: 0.5,
source: 158515,
target: 85059 });
// adding node
var x_node = Math.cos(2 * 6 * Math.PI / N) * 10;
var y_node = Math.sin(2 * 6 * Math.PI / N) * 10;
g.nodes.push({
id: 149554,
label: 'NEWS: Have I seen this before? Exploring the formation of distinct memories',
x: x_node,
y: y_node,
type: 'image',
url: '',
page_url: 'https://research.pasteur.fr/fr/news/have-i-seen-this-before-exploring-the-formation-of-distinct-memories/',
size: 24,
color: '#DDDDDD'
});
//link content to central post
g.edges.push({
id: 68286149554,
size: 0.5,
source: 68286,
target: 149554 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 68280) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 14955468280,
size: 0.5,
source: 149554,
target: 68280 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 82201) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 14955482201,
size: 0.5,
source: 149554,
target: 82201 });
//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: 128683,
label: 'Lorenzo Posani',
type: 'image',
url: '',
page_url: 'https://research.pasteur.fr/fr/?post_type=member&p=128683',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 149554128683,
size: 0.5,
source: 149554,
target: 128683 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 83422) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 14955483422,
size: 0.5,
source: 149554,
target: 83422 });
// adding node
var x_node = Math.cos(2 * 7 * Math.PI / N) * 10;
var y_node = Math.sin(2 * 7 * Math.PI / N) * 10;
g.nodes.push({
id: 125763,
label: 'DEPARTMENT: Biologie Computationnelle',
x: x_node,
y: y_node,
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2019/06/research_pasteur-dept_computational_biology-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/department/computational-biology/',
size: 24,
color: '#DDDDDD'
});
//link content to central post
g.edges.push({
id: 68286125763,
size: 0.5,
source: 68286,
target: 125763 });
//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: 104949,
label: 'Mélanie Bernardini Ridel',
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2018/03/research_pasteur-melanie-bernardini-ridel-thumbnail-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/member/melanie-ridel/',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 125763104949,
size: 0.5,
source: 125763,
target: 104949 });
//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: 174732,
label: 'Bérangère Virlon',
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2022/01/research_pasteur-berangere-virlon-virlon-berengere-2314-bv-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/member/berangere-virlon/',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 125763174732,
size: 0.5,
source: 125763,
target: 174732 });
//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: 83824,
label: 'Grégory Batt',
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2017/01/research_pasteur-gregory-batt-inria-0474-034-1-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/member/gregory-batt/',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 12576383824,
size: 0.5,
source: 125763,
target: 83824 });
//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: 77484,
label: 'Hugues Aschard',
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2016/11/research.pasteur.fr_p8191439-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/member/hugues-aschard/',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 12576377484,
size: 0.5,
source: 125763,
target: 77484 });
// adding node
var x_node = Math.cos(2 * 8 * Math.PI / N) * 10;
var y_node = Math.sin(2 * 8 * Math.PI / N) * 10;
g.nodes.push({
id: 122794,
label: 'EVENT: Imaging neuronal activity on its own terms: multiphoton micron resolution across millimeters at the subsecond time scale',
x: x_node,
y: y_node,
type: 'image',
url: '',
page_url: 'https://research.pasteur.fr/fr/event/imaging-neuronal-activity-on-its-own-terms-multiphoton-micron-resolution-across-millimeters-at-the-subsecond-time-scale/',
size: 24,
color: '#DDDDDD'
});
//link content to central post
g.edges.push({
id: 68286122794,
size: 0.5,
source: 68286,
target: 122794 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 68280) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 12279468280,
size: 0.5,
source: 122794,
target: 68280 });
//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: 94979,
label: 'Florent Haiss',
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2017/09/research_pasteur-d41d84dda37815ca0f_l_c08c0-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/member/florent-haiss/',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 12279494979,
size: 0.5,
source: 122794,
target: 94979 });
// adding node
var x_node = Math.cos(2 * 9 * Math.PI / N) * 10;
var y_node = Math.sin(2 * 9 * Math.PI / N) * 10;
g.nodes.push({
id: 110422,
label: 'EVENT: Neural networks – From brains to machines and vice versa',
x: x_node,
y: y_node,
type: 'image',
url: '',
page_url: 'https://research.pasteur.fr/fr/event/neural-networks-from-brains-to-machines-and-vice-versa/',
size: 24,
color: '#DDDDDD'
});
//link content to central post
g.edges.push({
id: 68286110422,
size: 0.5,
source: 68286,
target: 110422 });
//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: 2489,
label: 'David DiGregorio',
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2015/03/david-protrait-2011-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/member/david-digregorio/',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 1104222489,
size: 0.5,
source: 110422,
target: 2489 });
//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: 50133,
label: 'Jean-Baptiste Masson',
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2018/06/research_pasteur-jbm_photo_serieux_low_res-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/member/jean-baptiste-masson/',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 11042250133,
size: 0.5,
source: 110422,
target: 50133 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 68280) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 11042268280,
size: 0.5,
source: 110422,
target: 68280 });
// adding node
var x_node = Math.cos(2 * 10 * Math.PI / N) * 10;
var y_node = Math.sin(2 * 10 * Math.PI / N) * 10;
g.nodes.push({
id: 82196,
label: 'PROJECT: ERC-2015-StG NEWRON',
x: x_node,
y: y_node,
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2017/01/research.pasteur.fr_new-logo-erc-outline_small-01-150x150.png',
page_url: 'https://research.pasteur.fr/fr/project/erc-2015-stg-newron/',
size: 24,
color: '#DDDDDD'
});
//link content to central post
g.edges.push({
id: 6828682196,
size: 0.5,
source: 68286,
target: 82196 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 82201) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 8219682201,
size: 0.5,
source: 82196,
target: 82201 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 68280) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 8219668280,
size: 0.5,
source: 82196,
target: 68280 });
// adding node
var x_node = Math.cos(2 * 11 * Math.PI / N) * 10;
var y_node = Math.sin(2 * 11 * Math.PI / N) * 10;
g.nodes.push({
id: 71491,
label: 'PROGRAM_PROJECT: Biologie quantitative',
x: x_node,
y: y_node,
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2016/07/research.pasteur.fr_bandeau-quantitative-biology-2-150x150.png',
page_url: 'https://research.pasteur.fr/fr/program_project/quantitative-biology/',
size: 24,
color: '#DDDDDD'
});
//link content to central post
g.edges.push({
id: 6828671491,
size: 0.5,
source: 68286,
target: 71491 });
//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: 78773,
label: 'Romain Levayer',
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2016/11/research.pasteur.fr_dsc_0008-001-1-1-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/member/romain-levayer/',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 7149178773,
size: 0.5,
source: 71491,
target: 78773 });
//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: 100027,
label: 'Charles Baroud',
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2017/12/research_pasteur-dsc0120-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/member/charles-baroud/',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 71491100027,
size: 0.5,
source: 71491,
target: 100027 });
//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: 95285,
label: 'Thomas Gregor',
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2017/09/research_pasteur-gregor_pic2-150x150.jpg',
page_url: 'https://research.pasteur.fr/fr/member/thomas-gregor/',
x: x_site,
y: y_site,
size: 10,
color: '#DDDDDD'
});
//link to content
g.edges.push({
id: 7149195285,
size: 0.5,
source: 71491,
target: 95285 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 50133) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 7149150133,
size: 0.5,
source: 71491,
target: 50133 });
// adding node
var x_node = Math.cos(2 * 12 * Math.PI / N) * 10;
var y_node = Math.sin(2 * 12 * Math.PI / N) * 10;
g.nodes.push({
id: 68696,
label: 'SOFTWARE: Stimfit',
x: x_node,
y: y_node,
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2016/05/research.pasteur.fr_stimfit_512-150x150.png',
page_url: 'https://research.pasteur.fr/fr/software/stimfit/',
size: 24,
color: '#DDDDDD'
});
//link content to central post
g.edges.push({
id: 6828668696,
size: 0.5,
source: 68286,
target: 68696 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 68280) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 6869668280,
size: 0.5,
source: 68696,
target: 68280 });
// adding node
var x_node = Math.cos(2 * 13 * Math.PI / N) * 10;
var y_node = Math.sin(2 * 13 * Math.PI / N) * 10;
g.nodes.push({
id: 68699,
label: 'SOFTWARE: Gnoom',
x: x_node,
y: y_node,
type: 'image',
url: 'https://research.pasteur.fr/wp-content/uploads/2016/05/research.pasteur.fr_setup-01-1-150x150.png',
page_url: 'https://research.pasteur.fr/fr/software/gnoom/',
size: 24,
color: '#DDDDDD'
});
//link content to central post
g.edges.push({
id: 6828668699,
size: 0.5,
source: 68286,
target: 68699 });
//check if content already exist
// update node size depending on the amount of edges
g.nodes.forEach(function(n) {
if (n.id == 68280) {
n.size = n.size + 10;
if ( n.size > biggest_node_size ){
biggest_node_size = n.size;
}
}
});
g.nodes.forEach(function(n) {
if (n.id == 68286) {
if ( n.size < biggest_node_size ){
n.size = biggest_node_size;
}
}
});
//link to content
g.edges.push({
id: 6869968280,
size: 0.5,
source: 68699,
target: 68280 });
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: 12,
maxNodeSize: 30,
mouseWheelEnabled: false,
font: 'Montserrat',
labelThreshold:25,
borderSize:1,
defaultNodeBorderColor: '#333',
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;
//console.log(n.id);
//console.log(s.graph.nodes(n.id));
});
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) {
});