Chapter 13: Machine learning and deep learning for social science: a bibliometric approach
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This research aims to provide the knowledge structure of machine learning and deep learning in the field of social science by performing bibliometric analysis with VOSviewer. To this end, a topic search related to machine learning and deep learning was conducted, and 3695 articles (2012-2021) were extracted from the social science citation index database of the Web of Science. Subsequently, we investigated productive authors, institutes, and countries/regions to identify major research forces. Also, we conducted co-authorship network analyses to explore knowledge collaborations at the author and national/regional levels. Moreover, we employed co-citation analyses for identifying highly cited journals and literature. Furthermore, we performed a keyword occurrence analysis to explore the main research topics. Overall, these analyses can contribute to understanding key contributing forces at the author, institute, country/region, and journal levels and offer insights into the knowledge structures and collaborations of machine learning and deep learning in social science.

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