Computer Science – Neural and Evolutionary Computing
Scientific paper
2003-12-20
Computer Science
Neural and Evolutionary Computing
22 pages, 8 figures, to be submitted to Computer Networks
Scientific paper
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.
Merelo-Guervos Juan-J.
Prieto Beatriz
Rateb Fatima
Tricas Fernando
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