A. Capocci, F. Rao, S. Leonardi, and G. Caldarelli. Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, Genova, Italy, (9-13 July 2007)
Abstract
Many technological systems can be modelled by means of a scale-free network.
The particular topology of these objects can reveal information on the social
processes that shaped it.
The paramount example of this situation is given by the World Wide Web (WWW) and the Wikipedia. The WWW is a well-known system, while the second consists
by the pages of the online encyclopedia browsable at
http://www.wikipedia.org. We present here an analysis of the
community structure of the Wikipedia pages. Interestingly,
this on-line archive presents a superimposed (even if self-defined) category structure that we compare with clustering obtained from standard algorithm of
community detection.
%0 Book Section
%1 statphys23_0825
%A Capocci, A.
%A Rao, F.
%A Leonardi, S.
%A Caldarelli, G.
%B Abstract Book of the XXIII IUPAP International Conference on Statistical Physics
%C Genova, Italy
%D 2007
%E Pietronero, Luciano
%E Loreto, Vittorio
%E Zapperi, Stefano
%K complex networks social statphys23 systems topic-11
%T Clustering and taxonomy in wikipedia network
%U http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=825
%X Many technological systems can be modelled by means of a scale-free network.
The particular topology of these objects can reveal information on the social
processes that shaped it.
The paramount example of this situation is given by the World Wide Web (WWW) and the Wikipedia. The WWW is a well-known system, while the second consists
by the pages of the online encyclopedia browsable at
http://www.wikipedia.org. We present here an analysis of the
community structure of the Wikipedia pages. Interestingly,
this on-line archive presents a superimposed (even if self-defined) category structure that we compare with clustering obtained from standard algorithm of
community detection.
@incollection{statphys23_0825,
abstract = {Many technological systems can be modelled by means of a scale-free network.
The particular topology of these objects can reveal information on the social
processes that shaped it.
The paramount example of this situation is given by the World Wide Web (WWW) and the Wikipedia. The WWW is a well-known system, while the second consists
by the pages of the online encyclopedia browsable at
http://www.wikipedia.org. We present here an analysis of the
community structure of the Wikipedia pages. Interestingly,
this on-line archive presents a superimposed (even if self-defined) category structure that we compare with clustering obtained from standard algorithm of
community detection.},
added-at = {2007-06-20T10:16:09.000+0200},
address = {Genova, Italy},
author = {Capocci, A. and Rao, F. and Leonardi, S. and Caldarelli, G.},
biburl = {https://www.bibsonomy.org/bibtex/2f06fb25b25b9f32da6b93cd936be43b7/statphys23},
booktitle = {Abstract Book of the XXIII IUPAP International Conference on Statistical Physics},
editor = {Pietronero, Luciano and Loreto, Vittorio and Zapperi, Stefano},
interhash = {533caf7c24512ba7498fa4eecae5748e},
intrahash = {f06fb25b25b9f32da6b93cd936be43b7},
keywords = {complex networks social statphys23 systems topic-11},
month = {9-13 July},
timestamp = {2007-06-20T10:16:30.000+0200},
title = {Clustering and taxonomy in wikipedia network},
url = {http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=825},
year = 2007
}