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There are many common layout algorithms, but most everyone tweaks the
originals a little... a Google search should find all of the popular
I have done networks of 7,000 nodes and 30,000+ links in InFlow, but I
know that Pajek is built for large networks so they do many more...
Most layout algorithms do a pretty decent job of clustering and
structural equivalence [some focus on it more than others]. Of course
if you color or shape the nodes by various attributes you can spot
other patterns in the distribution of nodes.
... if you work with VERY large networks you run into two problems
1) Many networks > 2000 nodes tend to look like blobs/ hair balls ...
it is hard to see any discernible patterns
2) Your computer screen is only so large, especially if you use a
laptop. When you zoom out to see the whole big network you loose the
ability to see colors, labels, etc. When each node is just 1 or 4
The link below is to a network map of an emergent community -- all
those interested in topic X at location Y who have communicated at
least Z times. About 1500 nodes. Many emergent human networks look
like this -- one large component [red], many small clusters [blue], and
many isolated quads, triads, and pairs [green].
The original graphic of the network above was almost 10,000 pixels
wide. Now imagine a network with 10x or 100x the nodes...
On Jul 11, 2005, at 1:14 PM, Shannon Clark wrote:
> ***** To join INSNA, visit http://www.insna.org *****
> Is there a good source for those generic network layout algorithms?
> Also, does anyone know how large a network the common algorithms will
> scale to? (i.e. number of nodes and links)
> Are any of the algorithms adjustable - for example allowing for nodes
> be arranged but also ordered/clustered by some trait? (alpha sorting of
> similar nodes, clustering of related nodes - defined in some manner,
> Shannon Clark
> Founder, MeshForum
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