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Last active March 2, 2017 18:01
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Things That The U.S. Presidents Thought Were Great in Their Inaugural Addresses
Raw
README.md

This a semantic network of U.S. Presidents and the things they described as "great" in their Inaugural Addresses. Forked from John Ladd.

Have a great time!

Raw
index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>
.links line {
stroke: #999;
stroke-opacity: .6;
shape-rendering: geometricPrecision;
}
.nodes circle {
stroke: #fff;
stroke-width: 1.5px;
}
.node text {
pointer-events: none;
font: 10px sans-serif;
}
#tools div {
display: inline;
}
form, select {
float: right;
display: inline;
}
</style>
<body>
<div id='tools'></div>
<svg width="960" height="600"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
<script>
var svg = d3.select("svg"),
width = +svg.attr("width"),
height = +svg.attr("height");
var graph; //Global variable for the graph
svg.append('rect')
.attr('width', '100%')
.attr('height', '100%')
.attr('fill', '#FFFFFF');
// Call zoom for svg container.
svg.call(d3.zoom().on('zoom', zoomed)).on("dblclick.zoom", null);
var container = svg.append('g');
//Create scales for color and edge weight
var color = d3.scaleLinear()
.domain([1776,2017])
.range([0.1,1]);
var weight = d3.scaleLinear()
.domain([0,1])
.range([1,5]);
// Create form for search (see function below).
var search = d3.select("div#tools").append('form').attr('onsubmit', 'return false;');
var box = search.append('input')
.attr('type', 'text')
.attr('id', 'searchTerm')
.attr('placeholder', 'Type to search...');
var button = search.append('input')
.attr('type', 'button')
.attr('value', 'Search')
.on('click', function () { searchNodes(); });
//Toggle for ego networks on click (function below).
var toggle = 0;
//Create groups for nodes and links
var link = container.append("g")
.attr("class", "links")
.selectAll(".link"),
node = container.append("g")
.attr("class", "nodes")
.selectAll(".node");
//Get data from json file, assign that data to graph variable.
d3.json("semantic_great_nouns.json", function(error, json) {
if (error) throw error;
graph = json;
update();
});
// Zooming function translates the size of the svg container.
function zoomed() {
container.attr("transform", "translate(" + d3.event.transform.x + ", " + d3.event.transform.y + ") scale(" + d3.event.transform.k + ")");
}
// Search for nodes by making all unmatched nodes temporarily transparent.
function searchNodes() {
var term = document.getElementById('searchTerm').value;
var selected = container.selectAll('.node').filter(function (d, i) {
return d.id.toString().search(term.toLowerCase()) == -1;
});
selected.style('opacity', '0');
var link = container.selectAll('.link');
link.style('stroke-opacity', '0');
d3.selectAll('.node').transition()
.duration(20000)
.style('opacity', '1');
d3.selectAll('.link').transition().duration(20000).style('stroke-opacity', '1');
}
//Draw the graph!
function update() {
//Parameters for force layout simulation
var simulation = d3.forceSimulation(graph.nodes)
.force("link", d3.forceLink(graph.links))//.id(function(d) { return d.id; }))
.force("charge", d3.forceManyBody().strength([-300]))//.distanceMax([500]))
.force("center", d3.forceCenter(width / 2, height / 2))
.force("x", d3.forceX())
.force("y", d3.forceY())
.stop();
//The graph will be drawn behind the scenes and then displayed in static form.
//This code tells the program how many times to iterate through the layout simulation.
for (var i = 0, n = Math.ceil(Math.log(simulation.alphaMin()) / Math.log(1 - simulation.alphaDecay())); i < n; ++i) {
simulation.tick();
}
// Data join with links and corresponding nodes.
//If we wanted to reload the graph with an adjusted node set, we could do so.
link = link.data(graph.links, function(d) {return d.source.id + ', ' + d.target.id;});
link.exit().remove();
var linkEnter = link.enter().append('line')
.attr('class', 'link');
link = linkEnter.merge(link)
.attr("x1", function(d) { return d.source.x; })
.attr("y1", function(d) { return d.source.y; })
.attr("x2", function(d) { return d.target.x; })
.attr("y2", function(d) { return d.target.y; })
.attr("stroke-width", function(d) { return weight(d.weight); });
// When adding and removing graph.nodes, reassert attributes and behaviors.
node = node.data(graph.nodes, function(d) {return d.id;});
node.exit().remove();
var nodeEnter = node.enter().append('circle')
.attr('r', 20)
.attr("fill", function(d) { if (d.bipartite == 1) {return '#103def';} else {return '#ed1d0e';}})
//color bipartite nodes
.attr('class', 'node')
.attr('id', function(d) { return "n" + d.id.toString(); })
.attr('clickToggle', 0)
.attr("cx", function(d) { return d.x; })
.attr("cy", function(d) { return d.y; })
// On click, toggle ego networks for the selected node. (See function below.)
.on('click', function(d) { toggleClick(d); });
node = nodeEnter.merge(node);
//node.append("label")
//.attr("dx", 12)
//.attr("dy", ".35em")
//.text(function(d) { return d.id });
var label = svg.append("g").attr("class", "labels").selectAll("g")
.data(graph.nodes)
.enter().append("g");
label.append("text")
.attr("x", 14)
.attr("y", ".31em")
.style("font-family", "sans-serif")
.style("font-size", "0.7em")
.text(function(d) { return d.id; })
.attr("x", function(d) { return d.x; })
.attr("y", function (d) { return d.y; });
// node.append("text")
// .attr("dx", 12)
// .attr("dy", ".35em")
//.text(function(d) { return d.id });
// simulation.on("tick", function () {
// link.attr("x1", function (d) {return d.source.x;})
// .attr("y1", function (d) {return d.source.y;})
// .attr("x2", function (d) {return d.target.x;})
// .attr("y2", function (d) {return d.target.y;});"""
//node.attr("transform", function(d) { return "translate(" + d.x + "," + d.y + ")"; });
// });
//d3.selectAll("circle").attr("cx", function (d) {return d.x;})
// .attr("cy", function (d) {return d.y;});
//d3.selectAll("text").attr("x", function (d) {return d.x;})
// .attr("y", function (d) {return d.y;});
//});
//node.append("title")
//.text(function(d) { return d.id; });
}
// A function to handle click toggling based on neighboring nodes.
function toggleClick(d) {
// Make object of all neighboring nodes.
connectedNodes = {};
connectedNodes[d.id] = true;
graph.links.forEach(function(l) {
if (l.source.id == d.id) { connectedNodes[l.target.id] = true; }
else if (l.target.id == d.id) { connectedNodes[l.source.id] = true; };
});
if (toggle == 0) {
// Ternary operator restyles links and nodes if they are adjacent.
d3.selectAll('.link').style('stroke-opacity', function (l) {
return l.target == d || l.source == d ? 1 : 0.2;
});
d3.selectAll('.node').style('opacity', function (n) {
if (n.id in connectedNodes) { return 1; }
else { return 0.2; };
});
// Show information when node is clicked
d3.select('div#tools').append('span').text(d.date);
toggle = 1;
}
else {
// Restore nodes and links to normal opacity.
d3.selectAll('.link').style('stroke-opacity', 0.6);
d3.selectAll('.node').style('opacity', 1);
d3.selectAll('span').remove();
toggle = 0;
}
}
</script>
</body>
Raw
semantic_great_nouns.json
{
"directed":false,
"graph":{},
"links":[
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"date":1921,
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{
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{
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},
{
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},
{
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{
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{
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