A new technique for building maps of large scientific domains based on the cocitation of classes and categories

Abstract

Our objective is the generation of schematic visualizations as interfaces for scientific domain analysis. We propose a new technique that uses thematic classification (classes and categories) as entities of cocitation and units of measure, and demonstrate the viability of this methodology through the representation and analysis of a domain of great dimensions. The main features of the maps obtained are discussed, and proposals are made for future improvements and applications.

Identification and Visualization of the Intellectual Structure in Graphene Research

“…Among many other achievements, science mapping become the keystone of visualizing and analyzing computer graphics (Chen et al, 2001), using ISI categories to represent science (Moya-Anegón et al, 2004), mapping the backbone of science (Boyack et al, 2005), evaluating large maps of disciplines (Klavans and Boyack, 2006), visualizing the citation impact of scientific journals (Leydesdorff, 2007a), mapping interdisciplinarity (Leydesdorff, 2007b), viewing the marrow of science (Moya-Anegón et al, 2007b), creating dynamic animations of journal maps (Leydesdorff and Schank, 2008), mapping the structure and evolution of chemistry research , proposing a consensus map of science , creating a journal map using Scopus data , mapping the geography of science (Leydesdorff and Persson, 2010), clustering over two million biomedical publications , creating more accurate document-level maps of research fields , detecting and visualizing the evolution of the fuzzy sets theory field (Cobo et al, 2011b), proposing a new global science map (Leydesdorff et al, 2013a,b;Boyack and Klavans, 2014), analyzing the investigation in integrative and complementary medicine (Moral-Muñoz et al, 2014), analyzing intelligent transportation systems , showing the evolution of bases knowledge systems , showing the scientific evolution of social work , outlining animal science research (Rodriguez-Ledesma et al, 2015), studying the conceptual evolution of marketing research (Murgado-Armenteros et al, 2015) identifying and depicting the intellectual structure and research fronts in nanoscience and nanotechnology in the world (Muñoz-Écija et al, 2017), and exploring the scientific evolution of e-Government (Alcaide-Muñoz et al, in press), among other brave new initiatives.…”

Visualizing the marrow of science

“…In light of our previous experience (Moya-Anegón et al, 2004, we use cocitation as the similarity measure to quantify the relationship existing between each one of the JCR categories.…”

“…In Moya-Anegón et al (2004), we ventured forth with a historic evolution of scientific maps from their origin to the present, and proposed ISI-JCR category cocitation for the representation of major scientific domains. Its utility was demonstrated by a visualization of the scientific domain of geographical Spain for the Year 2000.…”

Visualización y análisis de la estructura científica española: ISI Web of science 1990-2005

“…En Moya- Anegón et al, (2004), revisamos histó-rica y profundamente la evolución de los mapas de la ciencia desde su origen hasta nuestros días, propusimos la cocitación de categorías ISI-Journal Citation Report (JCR) (The Thomson Corporation, 2005) para la representación de grandes dominios científicos, y demostramos su utilidad mediante la visualización del dominio geográfico español en el año 2000. Desde entonces hasta ahora han aparecido algunos trabajos relacionados con la visualización de grandes dominios científicos, pero salvo uno basado en la cocitación de categorías, Moya- Anegón et al(2005), el resto utilizan revistas como unidad de análisis.…”