한국에서의 일본문학 연구동향 ―『日本文化學報』1∼100호의 키워드 분석을 통하여―
Research trends in Japanese literature in Korea -A keyword analysis of the Journal of Japanese Culture(vol.1~100)-
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초록
本研究では、『日本文化學報』の創刊号(1996年5月)から100号(2024年2号)まで文学分科に掲載された論文660編を対象に、著者キーワード分析を通じてこれまで研究してきた分野、テーマなどを分析した。従来の先行研究で主に使われてきた頻度分析以外に、言語ネットワーク分析法という新しい研究方法を活用したもので、韓国における日本文学の研究動向の分析方法に寄与できる研究といえる。 分析結果は以下の通りである。第一に、韓国研究財団の学術研究分野分類に基づいて分類した結果、日本近現代文学57.6%、日本古典散文19.8%、日本古典韻文6.7%、日本文化6.1%、その他日本文学5.5%、比較文学2.3%、劇文学1.1%などで現れた。第二に、比重の高い日本近現代文学分野と日本古典散文分野はそれぞれ2022年と2019年を起点に急減する傾向を見せた。第三に、著者別のキーワードは、女性、神、朝鮮、死、在日、文化、キリスト教、近代、和歌、自己、家族、夏目漱石、母、源氏物語、自然が上位キーワードとして導出された。第四に、言語ネットワーク分析を通じて接続中心性が最も高いキーワードは「女性」、「朝鮮」、「神」であった。
Abstract
This study analyzes the fields and topics explored through an author keyword analysis of 660 papers published in the literature section of the Journal of Japanese Culture from its first issue (in May 1996) to its 100th issue (in the second quarter of 2024). The aim was to reflect on past research trends. Unlike previous studies that mainly used frequency analysis, this study contributes significantly to understanding research trends in Korean and Japanese literature by employing a novel research method known as language network analysis. The analysis results are as follows. First, based on the National Research Foundation of Korea's academic research field classification, the breakdown is as follows: Japanese modern and contemporary literature accounts for 57.6%, Japanese classical prose 19.8%, Japanese classical poetry 6.7%, Japanese cultural studies 6.1%, other Japanese literature 5.5%, comparative literature 2.3%, and drama literature 1.1%. Second, the fields of modern and contemporary Japanese literature and classical Japanese prose, which previously had a high proportion, showed a sharp decline starting in 2022 and 2019, respectively. Third, the main keywords identified include women, God, Chosen(朝鮮), death, Japanese culture, culture, modern culture, modern times, Japanese poetry, self-reflection, family, summer life, and mother. Object and self were derived as high-level keywords. Fourth, linguistic network analysis revealed that the keywords with the highest centrality are women, Chosen(朝鮮), and God.
참고문헌 (9)
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