We have just published in the @QSS_ISSI the paper we have been working on for some time exploring the #informetric possibilities of #Wikipeda (with @[email protected] and @rodrigocostas1).
One of the main results of this work is a comprehensive open dataset ๐ of the English Wikipedia with many metrics of each page, other entities, and the relationships between all of them #opendata #openscience
Wikinformetrics: Construction and description of an open Wikipedia knowledge graph dataset for informetric purposes
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 (di)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 dataset of the English Wikipedia was built (and shared) following a relational model. Finally, a descriptive case study is carried out on the English Wikipedia dataset to illustrate the analytical potential of the knowledge graph and its metrics.Peer Review. https://publons.com/publon/10.1162/qss_a_00226
Paper: