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 <A HREF="http://www.blogalia.com/">this http URL</A>), 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.
%0 Generic
%1 citeulike:260
%A Juan-J, J.
%A Prieto, Beatriz
%A Rateb, Fatima
%A Tricas, Fernando
%D 2003
%K citeulike networks, social
%T Mapping weblog communities
%U http://arxiv.org/abs/cs.NE/0312047
%X 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 <A HREF="http://www.blogalia.com/">this http URL</A>), 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.
@electronic{citeulike:260,
abstract = {{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 <A HREF="http://www.blogalia.com/">this http URL</A>), 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.}},
added-at = {2017-09-08T10:52:59.000+0200},
archiveprefix = {arXiv},
author = {Juan-J, J. and Prieto, Beatriz and Rateb, Fatima and Tricas, Fernando},
biburl = {https://www.bibsonomy.org/bibtex/2916d2a802472045c5eff555c626dcedc/fernand0},
citeulike-article-id = {260},
citeulike-linkout-0 = {http://arxiv.org/abs/cs.NE/0312047},
citeulike-linkout-1 = {http://arxiv.org/pdf/cs.NE/0312047},
day = 20,
eprint = {cs.NE/0312047},
interhash = {76d202b614dce85848a94b9af449257e},
intrahash = {916d2a802472045c5eff555c626dcedc},
keywords = {citeulike networks, social},
month = dec,
posted-at = {2004-11-12 17:27:57},
timestamp = {2017-09-08T10:53:23.000+0200},
title = {{Mapping weblog communities}},
url = {http://arxiv.org/abs/cs.NE/0312047},
year = 2003
}