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@MariosRichards
Last active December 28, 2016 16:06
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British Election Study dataset as a (thresholded) Bayesian Belief Network (displayed as force-directed digraph)
path.link {
fill: none;
stroke: #666;
stroke-width: 1.5px;
}
circle {
fill: #ccc;
stroke: #fff;
stroke-width: 1.5px;
}
text {
fill: #000;
font: 10px sans-serif;
pointer-events: none;
}
var width = 1500,
height = 700;
d3.json("force.json", function(json) {
var force = d3.layout.force()
.nodes(json.nodes)
.links(json.links)
.charge(-50)
.linkDistance(function(link) {
return 500/link.weight;
})
.size([width, height])
.on("tick", tick) // new
.start();
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height);
// .append("g")
// .call(d3.behavior.zoom().scaleExtent([1, 8]).on("zoom", zoom))
// .append("g");
// build the arrow.
svg.append("svg:defs").selectAll("marker")
.data(["end"]) // Different link/path types can be defined here
.enter().append("svg:marker") // This section adds in the arrows
.attr("id", String)
.attr("viewBox", "0 -5 10 10")
.attr("refX", 15)
.attr("refY", -1.5)
.attr("markerWidth", 6)
.attr("markerHeight", 6)
.attr("orient", "auto")
.append("svg:path")
.attr("d", "M0,-5L10,0L0,5");
// add the links and the arrows
var path = svg.append("svg:g").selectAll("path")
.data(force.links())
.enter().append("svg:path")
.attr("class", function(d) { return "link " + d.type; })
.attr("class", "link")
.attr("marker-end", "url(#end)");
// .style("stroke-width", function(d) {return d.weight/5})
// define the nodes
var node = svg.selectAll(".node")
.data(force.nodes())
.enter().append("g")
.attr("class", "node")
.call(force.drag);
// add the nodes
node.append("circle")
.attr("r", 5);
// add the text
node.append("text")
.attr("x", 12)
.attr("dy", ".35em")
.text(function(d) { return d.name; });
function zoom() {
svg.attr("transform", "translate(" + d3.event.translate + ")scale(" + d3.event.scale + ")");
}
// add the curvy lines
function tick() {
path.attr("d", function(d) {
var dx = d.target.x - d.source.x,
dy = d.target.y - d.source.y,
dr = Math.sqrt(dx * dx + dy * dy);
return "M" +
d.source.x + "," +
d.source.y + "A" +
dr + "," + dr + " 0 0,1 " +
d.target.x + "," +
d.target.y;
});
// .style("stroke-width", function(d) {return (2**d.weight)/3000});
node
.attr("transform", function(d) {
return "translate(" + d.x + "," + d.y + ")"; });
}
});
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{"target": 248, "source": 30, "weight": 16.042495788094204}, {"target": 99, "source": 30, "weight": 16.679913903895674}, {"target": 96, "source": 30, "weight": 16.304781959547405}, {"target": 160, "source": 30, "weight": 17.097134340036966}, {"target": 150, "source": 32, "weight": 17.028742703659397}, {"target": 223, "source": 33, "weight": 15.15728754131188}, {"target": 68, "source": 33, "weight": 15.912255875897184}, {"target": 28, "source": 33, "weight": 15.224111283122557}, {"target": 116, "source": 33, "weight": 16.834568717091273}, {"target": 39, "source": 33, "weight": 15.224737376364146}, {"target": 4, "source": 33, "weight": 15.209092661102598}, {"target": 107, "source": 34, "weight": 17.501342713005812}, {"target": 20, "source": 36, "weight": 15.923926119044715}, {"target": 155, "source": 36, "weight": 16.534345209337367}, {"target": 196, "source": 37, "weight": 15.351674046475488}, {"target": 208, "source": 37, "weight": 16.22988841690136}, {"target": 29, "source": 38, 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"livedAbroad", "name": "livedAbroad"}, {"id": "likeLD", "name": "likeLD"}, {"id": "euSources_4", "name": "euSources_4"}, {"id": "socialDes_4", "name": "socialDes_4"}, {"id": "campaigninfoRemain", "name": "campaigninfoRemain"}, {"id": "riskUnemploymentW9", "name": "riskUnemploymentW9"}, {"id": "selfOccStatusLast", "name": "selfOccStatusLast"}, {"id": "achieveReduceImmigLabW9", "name": "achieveReduceImmigLabW9"}, {"id": "likeMcDonnellW9", "name": "likeMcDonnellW9"}, {"id": "ptvConW9", "name": "ptvConW9"}, {"id": "infoSourcePeople", "name": "infoSourcePeople"}, {"id": "certaintyUKRemain", "name": "certaintyUKRemain"}, {"id": "personality_extraversion", "name": "personality_extraversion"}, {"id": "ptvLabW9", "name": "ptvLabW9"}, {"id": "effectsEUNHS", "name": "effectsEUNHS"}, {"id": "effectsEUEcon", "name": "effectsEUEcon"}, {"id": "socialIdentityGlobalRemain", "name": "socialIdentityGlobalRemain"}, {"id": "achieveReduceImmigDKW9", "name": "achieveReduceImmigDKW9"}, {"id": "al1", "name": 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"name": "leaveImpactBritain"}, {"id": "likeBoris", "name": "likeBoris"}, {"id": "likeUKIPW9", "name": "likeUKIPW9"}, {"id": "achieveReduceImmigNoneW9", "name": "achieveReduceImmigNoneW9"}, {"id": "ptvUKIPW9", "name": "ptvUKIPW9"}, {"id": "infoSourceRadio", "name": "infoSourceRadio"}, {"id": "al3", "name": "al3"}, {"id": "satDemUK", "name": "satDemUK"}], "graph": {}, "directed": true}
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<title>British Election Study dataset as a (thresholded) Bayesian Belief Network (displayed as force-directed digraph)</title>
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British Election Study dataset as a (thresholded) Bayesian Belief Network (displayed as force-directed digraph)
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