This chart was made as a practical part for #ILLINOISdatavisualization MOOC.
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<title>Coauthorships in network science</title>
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<h1>Coauthorships in network science</h1>
<div>
<p>This graph visualize a coauthorship network of scientists
working on network theory and experiment, as compiled by M. Newman in May
2006 (M. E. J. Newman, Finding community structure in networks using the eigenvectors of matrices, Preprint physics/0605087).</p>
<p>The network was compiled from the bibliographies of two review
articles on networks, M. E. J. Newman, SIAM Review 45, 167-256 (2003) and
S. Boccaletti et al., Physics Reports 424, 175-308 (2006), with a few
additional references added by hand. The version given here contains all
components of the network, for a total of 1589 scientists, and not just the
largest component of 379 scientists previously published.</p>
</div>
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{ id: 93, label: "TEICHMANN, S" },
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{ id: 109, label: "HART, S" },
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{ id: 112, label: "HOGUE, C" },
{ id: 113, label: "BAIESI, M" },
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{ id: 354, label: "CHEN, Y" },
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{ id: 356, label: "DING, M" },
{ id: 357, label: "CHERNIAK, C" },
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{ id: 359, label: "KANG, D" },
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{ id: 383, label: "KADANOFF, L" },
{ id: 384, label: "ZHANG, Z" },
{ id: 385, label: "CORDES, D" },
{ id: 386, label: "HAUGHTON, V" },
{ id: 387, label: "ARFANAKIS, K" },
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{ id: 398, label: "LEISERSON, C" },
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{ id: 401, label: "COSENZA, S" },
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{ id: 408, label: "CRIADO, R" },
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{ id: 413, label: "GARCIADELAMO, A" },
{ id: 414, label: "CRICK, F" },
{ id: 415, label: "KOCH, C" },
{ id: 416, label: "MARCHIORI, M" },
{ id: 417, label: "PORTA, S" },
{ id: 418, label: "CSANYI, G" },
{ id: 419, label: "SZENDROI, B" },
{ id: 420, label: "CSERMELY, P" },
{ id: 421, label: "CSETE, M" },
{ id: 422, label: "CUNHA, C" },
{ id: 423, label: "BESTAVROS, A" },
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{ source: 1442, target: 645, value: 0.0526316 },
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{ source: 1444, target: 1436, value: 0.0526316 },
{ source: 1444, target: 1437, value: 0.0526316 },
{ source: 1444, target: 1438, value: 0.0526316 },
{ source: 1444, target: 1439, value: 0.0526316 },
{ source: 1444, target: 1440, value: 0.0526316 },
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{ source: 1445, target: 1438, value: 0.0526316 },
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{ source: 1450, target: 1449, value: 1 },
{ source: 1451, target: 283, value: 0.5 },
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{ source: 1452, target: 216, value: 1 },
{ source: 1453, target: 1360, value: 1 },
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{ source: 1458, target: 1456, value: 0.333333 },
{ source: 1458, target: 1457, value: 0.333333 },
{ source: 1459, target: 1456, value: 0.333333 },
{ source: 1459, target: 1457, value: 0.333333 },
{ source: 1459, target: 1458, value: 0.333333 },
{ source: 1460, target: 517, value: 0.333333 },
{ source: 1460, target: 127, value: 0.333333 },
{ source: 1460, target: 151, value: 0.333333 },
{ source: 1461, target: 55, value: 0.5 },
{ source: 1461, target: 56, value: 0.5 },
{ source: 1464, target: 860, value: 0.2 },
{ source: 1464, target: 294, value: 0.2 },
{ source: 1465, target: 1464, value: 0.2 },
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{ source: 1466, target: 294, value: 0.2 },
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{ source: 1467, target: 294, value: 0.2 },
{ source: 1468, target: 53, value: 0.25 },
{ source: 1468, target: 1315, value: 0.25 },
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{ source: 1476, target: 1474, value: 0.5 },
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{ source: 1480, target: 1479, value: 1 },
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{ source: 1482, target: 96, value: 0.5 },
{ source: 1484, target: 1483, value: 0.5 },
{ source: 1485, target: 1483, value: 0.5 },
{ source: 1485, target: 1484, value: 0.5 },
{ source: 1487, target: 1486, value: 1 },
{ source: 1488, target: 1142, value: 0.5 },
{ source: 1489, target: 1488, value: 0.5 },
{ source: 1489, target: 1142, value: 0.5 },
{ source: 1492, target: 1491, value: 1 },
{ source: 1493, target: 1491, value: 0.25 },
{ source: 1494, target: 1493, value: 1 },
{ source: 1496, target: 1495, value: 1 },
{ source: 1497, target: 300, value: 1 },
{ source: 1498, target: 82, value: 1 },
{ source: 1500, target: 239, value: 0.25 },
{ source: 1501, target: 1500, value: 0.25 },
{ source: 1501, target: 239, value: 0.25 },
{ source: 1502, target: 1500, value: 0.25 },
{ source: 1502, target: 1501, value: 0.25 },
{ source: 1502, target: 239, value: 0.25 },
{ source: 1503, target: 1500, value: 0.25 },
{ source: 1503, target: 1501, value: 0.25 },
{ source: 1503, target: 239, value: 0.25 },
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{ source: 1508, target: 1507, value: 0.2 },
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{ source: 1512, target: 1511, value: 0.5 },
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{ source: 1514, target: 1000, value: 0.5 },
{ source: 1514, target: 1504, value: 0.5 },
{ source: 1515, target: 1120, value: 0.333333 },
{ source: 1516, target: 1120, value: 0.333333 },
{ source: 1516, target: 1515, value: 0.333333 },
{ source: 1517, target: 1120, value: 0.333333 },
{ source: 1517, target: 1515, value: 0.333333 },
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{ source: 1519, target: 927, value: 0.25 },
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{ source: 1520, target: 243, value: 0.25 },
{ source: 1520, target: 927, value: 0.25 },
{ source: 1523, target: 1522, value: 1 },
{ source: 1526, target: 1525, value: 1 },
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{ source: 1531, target: 1530, value: 1 },
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{ source: 1535, target: 530, value: 0.2 },
{ source: 1536, target: 843, value: 1 },
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{ source: 1544, target: 1543, value: 1 },
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{ source: 1550, target: 33, value: 1.33333 },
{ source: 1550, target: 54, value: 0.5 },
{ source: 1551, target: 1550, value: 0.333333 },
{ source: 1551, target: 34, value: 0.333333 },
{ source: 1551, target: 33, value: 0.333333 },
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{ source: 1554, target: 1553, value: 0.333333 },
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{ source: 1561, target: 1145, value: 0.333333 },
{ source: 1561, target: 219, value: 0.333333 },
{ source: 1562, target: 63, value: 0.142857 },
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{ source: 1563, target: 62, value: 0.142857 },
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{ source: 1564, target: 63, value: 0.142857 },
{ source: 1564, target: 62, value: 0.142857 },
{ source: 1565, target: 1562, value: 0.142857 },
{ source: 1565, target: 1563, value: 0.142857 },
{ source: 1565, target: 1564, value: 0.142857 },
{ source: 1565, target: 63, value: 0.142857 },
{ source: 1565, target: 62, value: 0.142857 },
{ source: 1566, target: 1562, value: 0.142857 },
{ source: 1566, target: 1563, value: 0.142857 },
{ source: 1566, target: 1564, value: 0.142857 },
{ source: 1566, target: 1565, value: 0.142857 },
{ source: 1566, target: 63, value: 0.142857 },
{ source: 1566, target: 62, value: 0.142857 },
{ source: 1567, target: 1562, value: 0.142857 },
{ source: 1567, target: 1563, value: 0.142857 },
{ source: 1567, target: 1564, value: 0.142857 },
{ source: 1567, target: 1565, value: 0.142857 },
{ source: 1567, target: 1566, value: 0.142857 },
{ source: 1567, target: 63, value: 0.142857 },
{ source: 1567, target: 62, value: 0.142857 },
{ source: 1569, target: 1568, value: 1 },
{ source: 1570, target: 337, value: 0.2 },
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{ source: 1571, target: 337, value: 0.2 },
{ source: 1571, target: 631, value: 0.2 },
{ source: 1571, target: 1570, value: 0.2 },
{ source: 1572, target: 337, value: 0.2 },
{ source: 1572, target: 631, value: 0.2 },
{ source: 1572, target: 1570, value: 0.2 },
{ source: 1572, target: 1571, value: 0.2 },
{ source: 1573, target: 337, value: 0.2 },
{ source: 1573, target: 631, value: 0.2 },
{ source: 1573, target: 1570, value: 0.2 },
{ source: 1573, target: 1571, value: 0.2 },
{ source: 1573, target: 1572, value: 0.2 },
{ source: 1574, target: 631, value: 0.5 },
{ source: 1574, target: 783, value: 0.5 },
{ source: 1576, target: 1575, value: 0.333333 },
{ source: 1577, target: 1575, value: 0.333333 },
{ source: 1577, target: 1576, value: 0.333333 },
{ source: 1578, target: 1575, value: 0.333333 },
{ source: 1578, target: 1576, value: 0.333333 },
{ source: 1578, target: 1577, value: 0.333333 },
{ source: 1579, target: 631, value: 0.5 },
{ source: 1579, target: 630, value: 0.5 },
{ source: 1581, target: 1580, value: 1 },
{ source: 1584, target: 1583, value: 1 },
{ source: 1586, target: 1585, value: 1 },
{ source: 1587, target: 1585, value: 1 },
{ source: 1588, target: 522, value: 0.5 },
{ source: 1588, target: 76, value: 0.5 }
]
}
var w = 800,
h = 800;
var svg = d3.select("body")
.append("svg")
.attr("width", w)
.attr("height", h);
var circlesSize = d3.scale.linear().range([ 2, 25 ]).domain([ 0, 30 ]);
var force = d3.layout.force()
.nodes(dataset.nodes)
.links(dataset.edges)
.size([ w, h ])
.linkDistance([ 30 ])
.charge([ -10 ])
.start();
var edges = svg.selectAll("line")
.data(dataset.edges)
.enter()
.append("line")
.style("stroke", "rgba(0, 0, 0, .3)")
//.style("stroke-width", function(d) { return +d.value; });
.style("stroke-width", 1);
var circle = svg.selectAll("circle")
.data(dataset.nodes)
.enter()
.append("circle")
//.attr("r", function(d) { return circlesSize(d.connections); })
.attr("r", 5)
.style("fill", "darkcyan")
.style("stroke", "white")
.style("stroke-width", 1)
.call(force.drag);
force.on("tick", function() {
edges.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; });
circle.attr("cx", function(d) { return d.x; })
.attr("cy", function(d) {return d.y; })
.append("title")
.text(function(d) { return d.label; });
});
</script>
<div class="footer">
<hr noshade size=1 width=75 align="left">
<p>This chart was made as a practical part for <a href="https://twitter.com/search?q=%23ILLINOISdatavisualization&src=hash">#ILLINOISdatavisualization</a> MOOC.</p>
<p>Data source:</p>
<ul>
<li>The UCI Network Data Repository, <a href="https://networkdata.ics.uci.edu/data.php?id=11">Coauthorships in network science</a></li>
</ul>
</div>
</body>
</html>
Modified http://d3js.org/d3.v3.js to a secure url
https://d3js.org/d3.v3.js