Southeast Asian catch-up through the convergence of trade structures

Eum, Wonsub; Maliphol, Sira

doi:10.1080/19761597.2022.2095292

Cited by 2 publications

(1 citation statement)

References 75 publications

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“…Science maps were developed to understand patterns related to the science of science, which include identifying topics of interest (Zahedi and van Eck 2018), identifying growth rates of science (Bornmann and Mutz 2015), identifying topic emergence (Jung and Segev 2022a), and detecting patterns and trends in the scientific literature (Kim and Chen 2015), especially through new combinations of interdisciplinary fields of science and technologies (Blei and Lafferty 2007;Eum and Maliphol 2023;Khan and Wood 2015;Lee et al 2015). Science maps are network representations of the scientific literature that have evolved in research approaches (Chen 2006).…”

Section: Literature Reviewmentioning

confidence: 99%

Identifying interdisciplinary emergence in the science of science: combination of network analysis and BERTopic

Kim,

Kogler,

Maliphol

2024

Humanit Soc Sci Commun

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Global scientific output is expanding exponentially, which in turn calls for a better understanding of the science of science and especially how the boundaries of scientific fields expand through processes of emergence. The present study proposes the application of embedded topic modeling techniques to identify new emerging science via knowledge recombination activities as evidenced through the analysis of research publication metadata. First, a dataset is constructed from metadata derived from the Web of Science Core Collection database. The dataset is then used to generate a global map representing a categorical scientific co-occurrence network. A research field is defined as interdisciplinary when multiple science categories are listed in its description. Second, the co-occurrence networks are subsequently compared between periods to determine changing patterns of influence in light of interdisciplinarity. Third, embedded topic modeling enables unsupervised association of interdisciplinary classification. We present the results of the analysis to demonstrate the emergence of global interdisciplinary sciences and further we perform qualitative validation on the results to identify what the sources of the emergent areas are. Based on these results, we discuss potential applications for identifying emergence through the merging of global interdisciplinary domains.

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