  Websites of a particular class form increasingly complex networks, and new
tools are needed to map and understand them. A way of visualizing this complex
network is by mapping it. A map highlights which members of the community have
similar interests, and reveals the underlying social network. In this paper, we
will map a network of websites using Kohonen's self-organizing map (SOM), a
neural-net like method generally used for clustering and visualization of
complex data sets. The set of websites considered has been the Blogalia weblog
hosting site (based at http://www.blogalia.com/), a thriving community of
around 200 members, created in January 2002. In this paper we show how SOM
discovers interesting community features, its relation with other
community-discovering algorithms, and the way it highlights the set of
communities formed over the network.
