A network analysis of interdisciplinary research relationships: the Korean government’s R&amp;D grant program

Yang, Chang Hoon; Park, Han Woo; Heo, Jungeun

doi:10.1007/s11192-010-0157-0

Cited by 21 publications

(15 citation statements)

References 30 publications

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“…• The indicator applied here is rooted in social network analysis using the following five measures (Park 2011;Yang et al 2010): in-degree, out-degree, flow betweenness, eigenvector, and pagerank. In-degree refers to the total number of hyperlinks received by others for a single set of components, in this case, 100 university sites.…”

Section: Methodsmentioning

confidence: 99%

Exploring the web visibility of world-class universities

Lee

Park

2011

Scientometrics

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With the rapid development of the Internet, there is a need for evaluating the public visibility of universities on the Internet (i.e., web visibility) in terms of its implications for university management, planning, and governance. The data were collected in December 2010 by using Yahoo, one of the most widely used search engines. Specifically, we gathered ''Single Mention'' data to measure the number of times that each university was mentioned on websites. In addition, we collected network-based data on Single Mentions. We obtained another data set based on the 2010 world university rankings by Shanghai Jiao Tong University (SJTU). We employed several analytical methods for the analysis, including correlations, nonparametric tests (e.g., the Mann-Whitney test), and multidimensional scaling (MDS). The significant positive correlation between university rankings and web visibility suggests that indicators of web visibility can function as a proxy measure of conventional university rankings. Another distinctive implication can be drawn from the pattern of a disparity in web visibility stemming from the linguistic divide, that is, universities in English-speaking countries dominated the central positions in various network structures of web visibility, whereas those in non-English-speaking countries were located in the periphery of these structures. In this regard, further research linking web visibility to university management, planning, and governance is needed.Keywords Web visibility Á Webometrics Á World university rankings The ''education gospel'' glorifying the key role of education in national economic competitiveness (Grubb and Lazerson 2004) has driven a new international race of higher education over the last decades.

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Section: Methodsmentioning

confidence: 99%

Exploring the web visibility of world-class universities

Lee

Park

2011

Scientometrics

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“…This concept, which is known as 'degree centrality', refers to the importance of each individual firm within the network (Yang et al 2010) as well as its potential communicative ability (Freeman 1979). This concept has been applied in many studies within the prior literature, including Tsai (2001) and Larson (2008).…”

Section: Degree Centralitymentioning

confidence: 99%

“…This potential controlling effect, which is known as 'betweenness centrality', is defined as the frequency of a firm falling between pairs of geodesic citation paths (Freeman 1979), and indicates the ability to control and coordinate knowledge within the overall diffusion process (Yang et al 2010). In the absence of nodes with significant levels of betweenness, the network might well fall apart.…”

Section: Betweenness Centralitymentioning

confidence: 99%

Emerging firms in an emerging field: an analysis of patent citations in electronic-paper display technology

Jang

Wang

2011

Scientometrics

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USPTO patent data covering the years 1994-2008 is used in this study to examine the citation networks of electronic-paper display technology. Our primary aim is to provide a better understanding of the ways in which emerging firms interact with, and learn from, technology diffusers. Two implications can be drawn from our analysis. Firstly, emerging firms within an emerging industry can enhance their technological capabilities through positive external learning activity. Secondly, despite the fact that technology diffusers have clear technological advantages, with the emergence of a new field, their influence within the network could potentially be decayed if they fail to remain proactive in terms of the absorption of available external knowledge.

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“…Past literature has shown a recent trend toward defining inter-disciplinarity in a quantitative way (Bourke and Butler 1998;Kaur et al, 2012;Pan et al, 2012;Schoolman et al, 2012;Tijssen, 1992;Xie et al, 2015;Yang and Heo 2014;Yang, Park and Heo, 2010). Bibliometrics is a useful tool for identifying publication trends, authors' academic fields, and authors' coworkers.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Definitions of Collaborative Research Fields in Science and Engineering

Schwartz¹,

Park²,

Lee³

2016

KTIS

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Practical methodology for categorizing collaborative disciplines or research in a quantitative manner is presented by developing a Correlation Matrix of Major Disciplines (CMMD) using bibliometric data collected between 2009 and 2014. First, 21 major disciplines in science and engineering are defined based on journal publication frequency. Second, major disciplines using a comparing discipline correlation matrix is created and correlation score using CMMD is calculated based on an analyzer function that is given to the matrix elements. Third, a correlation between the major disciplines and 14 research fields using CMMD is calculated for validation. Collaborative researches are classified into three groups by partially accepting the definition of pluri-discipline from peer review manual, European Science Foundation, inner-discipline, inter-discipline and cross-discipline. Applying simple categorization criteria identifies three groups of collaborative research and also those results can be visualized. Overall, the proposed methodology supports the categorization for each research field. KeywordsCollaborative research, inner-disciplinary research, interdisciplinary research, cross-disciplinary research, quantification method, correlation matrix of major disciplines(CMMD), bibliometric data

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A network analysis of interdisciplinary research relationships: the Korean government’s R&D grant program

Cited by 21 publications

References 30 publications

Exploring the web visibility of world-class universities

Exploring the web visibility of world-class universities

Emerging firms in an emerging field: an analysis of patent citations in electronic-paper display technology

Quantitative Definitions of Collaborative Research Fields in Science and Engineering

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