Три статьи о Wikipedia
На www.citeulike.org (кто не знает, это аналог del.icio.us для научно-библиографических “закладок”) в библиотеке пользователя ChaTo появились три интересные статьи о Википедии:
Analyzing and Visualizing the Semantic Coverage of Wikipedia and Its Authors
Authors: Todd Holloway, Miran Bozicevic, Katy Börner
This paper presents a novel analysis and visualization of English Wikipedia data. Our specific interest is the analysis of basic statistics, the identification of the semantic structure and age of the categories in this free online encyclopedia, and the content coverage of its highly productive authors. The paper starts with an introduction of Wikipedia and a review of related work. We then introduce a suite of measures and approaches to analyze and map the semantic structure of Wikipedia. The results show that co-occurrences of categories within individual articles have a power-law distribution, and when mapped reveal the nicely clustered semantic structure of Wikipedia. The results also reveal the content coverage of the article’s authors, although the roles these authors play are as varied as the authors themselves. We conclude with a discussion of major results and planned future work.
Preferential attachment in the growth of social networks: the case of Wikipedia
Authors: A. Capocci, V.D.P. Servedio, F. Colaiori, L.S. Buriol, D. Donato, S. Leonardi, G. Caldarelli
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.
Author: J. Voss
