Wikinformetrics: Construction and description of an open Wikipedia knowledge graph data set for informetric purposes

Author:

Arroyo-Machado Wenceslao1ORCID,Torres-Salinas Daniel1ORCID,Costas Rodrigo23ORCID

Affiliation:

1. Department of Information and Communication Sciences, University of Granada, Granada, Spain

2. Centre for Science and Technology Studies (CWTS), Leiden University, Leiden, The Netherlands

3. DSI-NRF Centre of Excellence in Scientometrics and Science, Technology and Innovation Policy, Stellenbosch University, Stellenbosch, South Africa

Abstract

Abstract Wikipedia is one of the most visited websites in the world and is also a frequent subject of scientific research. However, the analytical possibilities of Wikipedia information have not yet been analyzed considering at the same time both a large volume of pages and attributes. The main objective of this work is to offer a methodological framework and an open knowledge graph for the informetric large-scale study of Wikipedia. Features of Wikipedia pages are compared with those of scientific publications to highlight the (dis)similarities between the two types of documents. Based on this comparison, different analytical possibilities that Wikipedia and its various data sources offer are explored, ultimately offering a set of metrics meant to study Wikipedia from different analytical dimensions. In parallel, a complete dedicated data set of the English Wikipedia was built (and shared) following a relational model. Finally, a descriptive case study is carried out on the English Wikipedia data set to illustrate the analytical potential of the knowledge graph and its metrics.

Funder

Ministerio de Ciencia e Innovación

Publisher

MIT Press

Subject

Library and Information Sciences,Cultural Studies,Numerical Analysis,Analysis

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