Visualizing the Scientific Landscape Using Maps of Science

Garechana, Gaizka; Rio, Rosa; Carrasco, Ernesto Cilleruelo; Gavilanes, Javier

doi:10.1007/978-1-4471-2321-7_12

Cited by 8 publications

(4 citation statements)

References 16 publications

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“…Tech mining methodology employs the text in the records to combine documents from different scientific and technological databases and make bibliometric analyses [18,19]. It analyzes bibliometric elements such as author's name, author's keywords, affiliation, among others, as well as the interaction between them [16].…”

Section: Methodsmentioning

confidence: 99%

“…Currently, there are no bibliometric studies that merge documents from both databases in order to conduct a global sample and construct a full visualization canvas along with the analysis of the evolution of the field through different time periods.The authors of this study suggest the use of the text mining methodology along with the social network analysis to bibliometric records, to investigate and understand how sustainability has been introduced into higher education from a global research perspective. The analysis was focused on the scientific documents collected from the Web of Science and Scopus databases, specifically in the articles and conference proceedings because these show current issues and have structured formats [15][16][17]. The following objectives are pursued: 216 2010-2018 period exhibits 760 nodes and 1741 edges (Figure 4), indicating the presence of 99.74% of 217 the selected institutions and an eight-fold increase in interactions over the first period.218 # Rec.…”

mentioning

confidence: 99%

“…Depending on the element that forms the network, it is possible to perform different types of analysis, such as geospatial, temporal, topic, workgroup or modeling [25]. When this method is applied to a scientific field, it is called a science map and its use facilitates the visual representation of the evolution of the field and the main immersed actors [16,17].…”

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confidence: 99%

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Towards a Science Map on Sustainability in Higher Education

et al. 2019

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This article analyses how the concept of sustainability is being incorporated into global research of higher education. This study utilizes different scientometric reviews of global research between 1991 and 2018 using text mining techniques in order to generate first and second-generation bibliometric indicators, the latter are displayed in science maps. A total of 6724 articles and conference proceedings were collected from the Web of Science and Scopus databases to generate this research. From the results obtained, it was possible to build a canvas of the main institutions that have significantly contributed to the topic of sustainability in higher education, and it was found that 40.58% of the records originated in institutions from the United States, China, United Kingdom, and Australia. This study also provides an insight into emerging trend themes, and patterns of research in the area of sustainability worldwide. Terms such as regional planning and environmental protection inside the top keywords found, suggest a greater interest in issues of sustainable planning and social awareness and that higher education is becoming the cornerstone of environmental awareness, innovation, and guidance to achieve sustainability goals in higher education institutions, as well as in society and government.Sustainability 2019, 11, 3521 2 of 18 both basic and applied, (c) campus operations, (d) community outreach, and (e) assessment and reporting. Similarly, Urquiza [7] proposes the labels of (a) education, (b) research, (c) public engagement, (d) operations, and (e) administration. By considering this frame of reference, it is possible to analyze each dimension in order to examine how sustainability has been integrated into higher education.The bibliometric method has been employed to study the research perspective in the area of sustainability and education, some of the most representative studies are: Bibliometric analysis of sustainability and sustainable development [8], evolution of collaborative economy business [9], the identification of emergent trends in education for sustainable development and ecopsychology in higher education [10], the mapping of tools to determine the implementation of sustainability in higher education [11] and the study of environmental education during the period 2001-2010 in Spain [12]. Ávila and co-workers reported a bibliometric analysis of sustainability and higher education from Web of Science (WoS) publications in the period between 2005 and 2014 [13]. Similarly, Hallinger and Chatpinyakoop conducted a bibliometric review related to the scientific production contained in Scopus regarding higher education and sustainable development in the period 1998-2018 [14]. Currently, there are no bibliometric studies that merge documents from both databases in order to conduct a global sample and construct a full visualization canvas along with the analysis of the evolution of the field through different time periods.The authors of this study suggest the use of the text mining methodology along w...

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Towards a Science Map on Sustainability in Higher Education

et al. 2019

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“…The cancer research mapping done by Cambrosio, Keating, Mercier, Lewison, and Mogoutov (2006) is another example, achieved by extracting the main keywords present in cancer research by means of text mining tools and then using the number of co-occurrences between keywords to locate each of them spatially, with proximity indicating relationship among concepts. The work of Garechana, Rio-Belver, Cilleruelo, and Gavilanes-Trapote (2011) and the Places & Spaces website (Börner & Theriault, 2013) may be good starting points for readers interested in science mapping.…”

Section: Science Characterization and Mappingmentioning

confidence: 99%

Clusterization and mapping of waste recycling science. Evolution of research from 2002 to 2012

Garechana

Belver

Carrasco

et al. 2014

Asso for Info Science & Tech

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Characterization of waste recycling (WR) research has to start by defining the scope of this scientific area. Previous works and expert assessment recommend the adoption of an inclusive definition, with the aim of including all relevant uses of waste within this study. An ad‐hoc designed “capture” strategy has been used to retrieve WR‐related peer‐reviewed journal papers from selected databases, and the information contained in their author keyword field has been thoroughly cleaned. Author keyword co‐occurrence data have been used for building a similarity measure between keywords, plus cluster analysis for revealing the main WR research being addressed by the scientific community. Results have been further analyzed using advanced visualization tools to determine which clusters formed strongly‐linked research areas that could set the main cognitive divisions of WR science. This process has been repeated with 2002 and 2012 data, and science maps reflecting the main research areas and clusters have been generated. Results show that WR mainly deals with the recovery of basic, widely used raw materials like water and fertile soil. Energy generation and waste management are other relevant fields that show an interesting evolution, revealing signs of growth in research, together with the emergence of sub‐areas reflecting consolidating research specialties.

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