A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2007; you can also visit <a rel="external noopener" href="http://www.ics.uci.edu:80/~goodrich/pubs/grip_paper.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
A multi-dimensional approach to force-directed layouts of large graphs*1
<span title="">2004</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/g3swg5xvjjbr3mbsu5d4kdvvoa" style="color: black;">International Journal of Production Economics</a>
</i>
Preserved Fulltext
We present a novel hierarchical force-directed method for drawing large graphs. The algorithm produces a graph embedding in an Euclidean space E of any dimension. A two or three dimensional drawing of the graph is then obtained by projecting a higher-dimensional embedding into a two or three dimensional subspace of E. Projecting high-dimensional drawings onto two or three dimensions often results in drawings that are "smoother" and more symmetric. Among the other notable features of our
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0925-7721(04)00046-x">doi:10.1016/s0925-7721(04)00046-x</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/msezbx6lxbeo3ot3qvln4iintm">fatcat:msezbx6lxbeo3ot3qvln4iintm</a>
</span>
more »
... are the utilization of a maximal independent set filtration of the set of vertices of a graph, a fast energy function minimization strategy, efficient memory management, and an intelligent initial placement of vertices. Our implementation of the algorithm can draw graphs with tens of thousands of vertices using a negligible amount of memory in less than one minute on a mid-range PC.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20070210035544/http://www.ics.uci.edu:80/~goodrich/pubs/grip_paper.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/7d/6f/7d6fcd669bcfd109e4a9b08e1069b6079232a8bf.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0925-7721(04)00046-x">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="external alternate icon"></i>
elsevier.com
</button>
</a>