국내 추리소설 번역 연구의 구조와 동향: 키워드 네트워크 분석을 중심으로
The structure and trends of Korean detective fiction translation research: Focusing on keyword network analysis
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This study provides a meta-level overview of Korean detective fiction translation research by addressing three research questions: (1) What are the central keywords in this field? (2) How have the thematic and chronological trends changed over time? (3) What are the cluster structures and interconnections revealed through keyword network analysis? To answer these questions, we analyzed articles and dissertations published in key Korean academic journals, using the big data text-mining tool TEXTOM and the network analysis software UCINET 6. The analysis identified four main clusters: (1) genre reception and translation strategies, (2) literary experimentation and genre transformation, (3) genre structure and cultural reception, and (4) colonial-era translations and the transplantation of detective narratives. These findings highlight how detective fiction translation research has evolved from isolated case studies to a more interconnected and structured academic field. This quantitative approach complements previous qualitative studies and provides a broader visualization of the field’s structure and thematic development. However, the study acknowledges limitations in data scope and the exclusive reliance on quantitative methods. Future research should integrate qualitative analyses and explore the reception of translations by readers, as well as compare detective fiction translation practices with those of other genre literatures.
Abstract
This study provides a meta-level overview of Korean detective fiction translation research by addressing three research questions: (1) What are the central keywords in this field? (2) How have the thematic and chronological trends changed over time? (3) What are the cluster structures and interconnections revealed through keyword network analysis? To answer these questions, we analyzed articles and dissertations published in key Korean academic journals, using the big data text-mining tool TEXTOM and the network analysis software UCINET 6. The analysis identified four main clusters: (1) genre reception and translation strategies, (2) literary experimentation and genre transformation, (3) genre structure and cultural reception, and (4) colonial-era translations and the transplantation of detective narratives. These findings highlight how detective fiction translation research has evolved from isolated case studies to a more interconnected and structured academic field. This quantitative approach complements previous qualitative studies and provides a broader visualization of the field’s structure and thematic development. However, the study acknowledges limitations in data scope and the exclusive reliance on quantitative methods. Future research should integrate qualitative analyses and explore the reception of translations by readers, as well as compare detective fiction translation practices with those of other genre literatures.