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Mapping science through bibliometric triangulation: An experimental approach applied to water research
Author(s) -
Wen Bei,
Horlings Edwin,
van der Zouwen Mariëlle,
van den Besselaar Peter
Publication year - 2017
Publication title -
journal of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.903
H-Index - 145
eISSN - 2330-1643
pISSN - 2330-1635
DOI - 10.1002/asi.23696
Subject(s) - triangulation , field (mathematics) , computer science , set (abstract data type) , data science , information retrieval , citation , multidisciplinary approach , bibliometrics , information science , data mining , sociology , world wide web , social science , library science , mathematics , geography , cartography , pure mathematics , programming language
The idea of constructing science maps based on bibliographic data has intrigued researchers for decades, and various techniques have been developed to map the structure of research disciplines. Most science mapping studies use a single method. However, as research fields have various properties, a valid map of a field should actually be composed of a set of maps derived from a series of investigations using different methods. That leads to the question of what can be learned from a combination—triangulation—of these different science maps. In this paper we propose a method for triangulation, using the example of water science. We combine three different mapping approaches: journal–journal citation relations (JJCR), shared author keywords (SAK), and title word‐cited reference co‐occurrence (TWRC). Our results demonstrate that triangulation of JJCR, SAK, and TWRC produces a more comprehensive picture than each method applied individually. The outcomes from the three different approaches can be associated with each other and systematically interpreted to provide insights into the complex multidisciplinary structure of the field of water research.