We present an analysis of the statistical properties and growth of the free on-line encyclopedia Wikipedia. By describing topics by vertices and hyperlinks between them as edges, we can represent this encyclopedia as a directed graph. The topological properties of this graph are in close analogy with that of the World Wide Web, despite the very different growth mechanism. In particular we measure a scale--invariant distribution of the in-- and out-- degree and we are able to reproduce these features by means of a simple statistical model. As a major consequence, Wikipedia growth can be described by local rules such as the preferential attachment mechanism, though users can act globally on the network.
%0 Generic
%1 cappoca:06
%A Capocci, A.
%A Servedio, V. D. P.
%A Colaiori, F.
%A Buriol, L. S.
%A Donato, D.
%A Leonardi, S.
%A Caldarelli, G.
%D 2006
%K collaborative-communities social-networks
%T Preferential attachment in the growth of social networks: the case of Wikipedia
%U http://arxiv.org/abs/physics/0602026
%X We present an analysis of the statistical properties and growth of the free on-line encyclopedia Wikipedia. By describing topics by vertices and hyperlinks between them as edges, we can represent this encyclopedia as a directed graph. The topological properties of this graph are in close analogy with that of the World Wide Web, despite the very different growth mechanism. In particular we measure a scale--invariant distribution of the in-- and out-- degree and we are able to reproduce these features by means of a simple statistical model. As a major consequence, Wikipedia growth can be described by local rules such as the preferential attachment mechanism, though users can act globally on the network.
@misc{cappoca:06,
abstract = {We present an analysis of the statistical properties and growth of the free on-line encyclopedia Wikipedia. By describing topics by vertices and hyperlinks between them as edges, we can represent this encyclopedia as a directed graph. The topological properties of this graph are in close analogy with that of the World Wide Web, despite the very different growth mechanism. In particular we measure a scale--invariant distribution of the in-- and out-- degree and we are able to reproduce these features by means of a simple statistical model. As a major consequence, Wikipedia growth can be described by local rules such as the preferential attachment mechanism, though users can act globally on the network.},
added-at = {2007-07-06T10:33:42.000+0200},
author = {Capocci, A. and Servedio, V. D. P. and Colaiori, F. and Buriol, L. S. and Donato, D. and Leonardi, S. and Caldarelli, G.},
biburl = {https://www.bibsonomy.org/bibtex/277e4e6c1601e81ae88d3dff90a483b86/schaal},
citeulike-article-id = {525472},
eprint = {physics/0602026},
interhash = {88bf1242c692479acc414f633c4bab44},
intrahash = {77e4e6c1601e81ae88d3dff90a483b86},
keywords = {collaborative-communities social-networks},
month = Feb,
priority = {2},
timestamp = {2007-07-06T10:33:48.000+0200},
title = {Preferential attachment in the growth of social networks: the case of Wikipedia},
url = {http://arxiv.org/abs/physics/0602026},
year = 2006
}