Applying bibliometric mapping in a high level science policy context

Abstract

Bibliometric maps have the potential to become useful tools for science policy issues. The complexity of the structures, however, makes it often very difficult to interpret the results. In this study, we present a case study in which we use the bibliometric mapping results to address a high level science policy issue of research efficiency. By revealing the results in an alternative way, we increased the utility of bibliometric mapping within the science policy context. Moreover, by including additional information to the entities in the landscape, we provide useful input for the research potential.

A bibliometric mapping of the structure of STEM education using co‐word analysis

“…Science maps are symbolic representations of scientific fields or organizations in which the elements of the map are associated with topics or themes. Elements are positioned in the map so that other elements with related or similar characteristics are located in their vicinity, whereas those elements that are dissimilar are positioned at distant locations (Noyons, 2001). The elements in the map can be words and terms, phrases, authors, publications, institutions, scientific topics, or instruments.…”

“…In addition to representing relationships and creating a structure of a domain, bibliometric maps or science maps are used for a wide range of purposes, including to determine innovation activity (Agarwal & Searls, 2009); to support science policy (Buter et al 2006;Leydesdorff & Wagner, 2009;Noyons, 2001;Noyons, 2005;Noyons, Buter, & van Raan, 2002); as a trend analysis to determine evolution or development of scientific disciplines (Callon et al, 1986; Marshakova-Shaikevich, 2005;Zitt & Bassecoulard, 1994); and to measure academic productivity . In the social studies of science, constructing a map and analyzing science and the activities of scientists through their works have been recognized as methods to understand a field (Callon et al, 1986).…”

“…These methods are variously known as co-word analysis (Callon, Law, & Rip, 1986;Whittaker, 1989), citation mapping (Healey, Rothman, & Hoch, 1986;Small, 1999), and bibliometric analysis, bibliometric modeling, or bibliometric mapping (Crouch, Irvine, & Martin, 1986;Franklin & Johnston, 1988;King, 1987;Noyons, 2001Noyons, , 2005. In addition to the usefulness of these methods for evaluation and measurement of science, they allow for the creation of visual maps that represent the scholarly activities and the relationships that exist in a given domain.…”

Proceedings of the 2nd International Conference on Advanced Research Methods and Analytics (CARMA 2018)

“…To study a scientific discipline we have to refer to methodologies developed by Alejo (2015), Garechana et al (2014), Gore et al (2016), Noyons (2009), Porter et al (2011, which shows how text-mining methods, natural language processing and network theory collaborate to produce indicators. The algorithms developed within Machine Learning are also helping the development of bibliometrics, Ranei (2017).…”

Red de co-palabras en la bibliometría mexicana

“…Por lo tanto, desde el punto de vista metodológico, es una cuestión de usar uno o más índices para medir la intensidad relativa de esas ocurrencias y efectuar una representación simplificada de las redes que pueden ser evidenciadas en un gráfico. (Callon, Courtial y Laville, 1991: 160-161) Los mapas de la ciencia son representaciones simbólicas de los campos científicos, en los cuales los elementos se distribuyen por su similitud, los más relacionados se sitúan más próximos y los menos relacionados se localizan más lejanos (Noyons, 2001). El análisis de la producción científica por los asuntos estudiados es un tópico en el que los mapas de la ciencia tienen mayores aplicaciones.…”