Comparative analysis of webometric measurements in thematic environments.
ABSTRACT There have been many attempts to evaluate Web spaces on the basis of the information that they provide, their form or functionality, or even the importance given to each of them by the Web itself. The indicators that have been developed for this purpose fall into two groups: those based on the study of a Web space's formal characteristics, and those related to its link structure. In this study we examine most of the webometric indicators that have been proposed in the literature together with others of our own design by applying them to a set of thematically related Web spaces and analyzing the relationships between the different indicators. © 2005 Wiley Periodicals, Inc.
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ABSTRACT: This paper explores website link structure considering websites as interconnected graphs and analyzing their features as a social network. Factor Analysis provides the statistical methodology to adequately extract the main website profiles in terms of their internal structure. However, due to the large number of indicators, a genetic search of their optimum number is proposed, and applied to a case study based on 80 Spanish University websites. Results provide coherent and relevant website profiles, and highlight the possibilities of Genetic Algorithms as a tool for discovering new knowledge related to website link structures.Advances in Social Networks Analysis and Mining (ASONAM), 2010 International Conference on; 08/2010
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ABSTRACT: The concept of webpage visibility is usually linked to search engine optimization, and it is based on global in-link metric, that is, the number of received links from other websites, but without considering the sources of these links. The purpose of this article is to demonstrate that this global idea of visibility is only weakly correlated with web metrics measured over a network of related institutions or organizations (local visibility) and research production. As a case study, global and local visibility measurements have been obtained for a set of Spanish Universities, and they have been correlated with results provided by international rankings like the Webometrics Ranking of World's Universities and the Academic Ranking of World Universities by Shanghai Jiao Tung University. Obtained results suggest that the development of web indicators to be included as part of Universities evaluation programs should consider a local idea of visibility, considering a certain geographical context or similar related institutions.Research Evaluation 06/2013; 22(3):157-168. DOI:10.1093/reseval/rvt003 · 0.85 Impact Factor
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ABSTRACT: This paper explores website link structure considering websites as interconnected graphs and analyzing their features as a social network. Two networks have been extracted for representing websites: a domain network containing subdomains or external domains linked through the website and a page network containing webpages browsed from the root domain. Factor analysis provides the statistical methodology to adequately extract the main website profiles in terms of their internal structure. However, due to the large number of indicators, the task of selecting a representative subset of indicators becomes unaffordable. A genetic search of an optimum subset of indicators is proposed in this paper, selecting a multi-objective fitness function based on factor analysis results. The optimum solution provides a coherent and relevant categorization of website profiles, and highlights the possibilities of genetic algorithms as a tool for discovering new knowledge in the field of web mining.Expert Systems with Applications 10/2012; 39(14):11623–11633. DOI:10.1016/j.eswa.2012.04.011 · 1.97 Impact Factor