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 merelo-guervos2003mapping
%A Merelo-Guervos, J.
%A Prieto, Beatriz
%A Rateb, Fatima
%A Tricas, Fernando
%D 2003
%K blogs networks online_community
%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.
@misc{merelo-guervos2003mapping,
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 = {2007-12-07T21:41:23.000+0100},
author = {Merelo-Guervos, J. and Prieto, Beatriz and Rateb, Fatima and Tricas, Fernando},
biburl = {https://www.bibsonomy.org/bibtex/2da31c2de5a043700339b293f8cd56660/cameron},
citeulike-article-id = {260},
date-added = {2007-01-22 11:56:01 -0800},
date-modified = {2007-11-13 18:06:28 -0500},
description = {Main paper DB},
eprint = {cs.NE/0312047},
interhash = {13e1dd8959abbd8240cec240f1ceb75a},
intrahash = {da31c2de5a043700339b293f8cd56660},
keywords = {blogs networks online_community},
local-url = {merelo-guervos/2003-mapping.pdf},
month = {December},
timestamp = {2007-12-07T21:41:42.000+0100},
title = {Mapping weblog communities},
url = {http://arxiv.org/abs/cs.NE/0312047},
year = 2003
}