논문 제목과 주제어의 공기어 네트워크로 본 『상허학보』의 30년

이재연,한남기 상허학회 2022 상허학보 Vol.66 No.-

This article is designed to commemorate the 30th anniversary of the publication of Sanghǒ hakbo, one of the most distinguished academic journals in modern Korean literature. It aims to approach the large spectrums of research topics in a quantitative way in order to grasp an important part of Korea’s history of literary studies from a macroscopic perspective. For this objective, I apply three quantitative methods to my analysis of Sanghǒ hakbo: 1) frequency analysis of the words comprising articles titles, 2) frequency analysis of titles as well as the keywords of the article, and 3) co-occurrence network analysis of title words and keywords. In order to employ those approaches respectively in a diachronic analysis of the magazine, I divide its thirty-year run into three phases, each one decade in length (the first phase, 1993 to 2002; the second, 2003 to 2012; and the third, 2013 to 2022). Each phase correlates with one of three clusters on the co-occurrence network, and those three clusters yields the most reasonable results in explaining the major academic discourses of each phase. For instance, the most important words from Phase 1 include “fiction,” “discourse,” and “women”; ‘for Phase 2, “modern,” “subjectivity,” and “culture”; and for Phase 3, “cold war,” “North Korea,” and “women.” At the end of the paper, I briefly discuss how scholars of modern Korean literature have engaged with those academic topics while also summarizing the conference presentations. 이 논문은 『상허학보』의 발간 30주년을 기념하기 위해 기획된 논문이다. 학회지에 게재된 한국문학 및 문화와 관련된 연구의 큰 흐름을 계량적 방법으로 접근하고 이 결과를 거시적 시야에서 통시적으로 파악함이 목적이다. 계량적 방법은 크게 세 가지로, 1) 논문 제목 어휘의 빈도분석, 2) 제목과 주제어의 빈도분석, 3) 제목과 주제어의 공기어 네트워크 분석이며 각각의 방식을, 10년 단위의 세 시기(1기: 1993년~2002년, 2기: 2003년~2012년, 3기: 2013년~2022년)에 맞춰 각각 실행할 것이다. 논문 제목보다는 제목과 주제어를 함께 했을 때가, 빈도 분석만 실행했을 때보다는 공기어 네트워크와 중심성(연결정도, 근접, 매개) 분석을 함께 고려했을 때가 좀더 정합적인 결과가 도출되었다. 각 시기의 공기어 네트워크에서 상위 3개의 소집단을 구성하는 단어를 살펴보면, 1기는 ‘소설’, ‘담론’, ‘여성’이고 2기는 ‘근대’, ‘주체’, ‘문화’이며 3기는 ‘냉전’, ‘북한’, ‘여성’이다. 이 결과는 『상허학보』를 통해 찾은, 한국문학연구사의 한 흐름을 읽어낼 수 있는 지표라고 볼 수 있다. 논문 말미에서, 학술대회 발표를 정리하면서, 이들 지표와 관련한 학문적 주제를 연구자들이 논의해온 과정의 한 단면을 간단하게 소개하고자 한다.

Tracing the evolution of physics with a keyword co-occurrence network

You Taekho,Yoon Jisung,Kwon Oh-Hyun,Jung Woo-Sung 한국물리학회 2021 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.78 No.3

Describing the evolution of science is a salient work not only for revealing the scientific trend but also for establishing a scientific classification system. In this paper, we investigate the evolution of science by observing the structure of and the change on keyword co-occurrence networks. Starting from seven target physics fields and their initial keywords selected by experts from the Korean Physical Society, we generate keyword co-occurrence networks to capture better topological structure with our proposed approach. In this way, we can construct a more relevant and abundant keyword network from a small set of initial keywords. With these networks, we successfully identify the scientific sub-field by detecting communities and extracting core keywords of each community. Furthermore, we use a time-snapshot keyword network to trace the temporal evolution of sub-fields, and the resultant temporal change of the community membership explains the evolution of the research field well. Our approach for tracing the evolution of a research field with a keyword co-occurrence network can shed light on identifying and assessing the evolution of science.

토픽모델링과 동시출현단어 분석을 이용한 기업가정신에 대한 연구동향 분석: 2002~2021

장성희 한국벤처창업학회 2022 벤처창업연구 Vol.17 No.3

The purpose of this study is to provide comprehensive insights on the current research trends in entrepreneurship based on topic modeling and keyword co-occurrence analysis. This study queried Web of Science database with ‘entrepreneurship’ and collected 14,953 research articles between 2002 and 2021. The study used R program for topic modeling and VOSviewer program for keyword co-occurrence analysis. The results of this study are as follows. First, as a result of keyword co-occurrence analysis, 5 clusters divided: entrepreneurship and innovation cluster, entrepreneurship education cluster, social entrepreneurship and sustainability cluster, enterprise performance cluster, and knowledge and technology transfer cluster. Second, as a result of the topic modeling analysis, 12 topics found: start-up environment and economic development, international entrepreneurship, venture capital, government policy and support, social entrepreneurship, management-related issues, regional city planning and development, entrepreneurship research, and entrepreneurial intention. Finally, the study identified two hot topics(venture capital and entrepreneurship intention) and a cold topic(international entrepreneurship). The results of this study are useful to understand current research trends in entrepreneurship research and provide insights into research of entrepreneurship. 본 연구는 토픽모델링과 동시출현단어 분석을 이용하여 기업가정신에 대한 연구 동향을 제공하는 것이 목적이다. 이를 위해 Web of Science 데이터베이스에서 ‘entrepreneurship’을 기본검색어로 설정하고, 2002년부터 2021년까지 발표한 14,953편의 기업가정신 논문의 데이터를 확보하였다. 본 연구에서는 VOSviewer 프로그램을 이용하여 동시출현단어 분석을 하였고, R 프로그램을 이용하여 토픽모델링 분석을 하였다. 본 연구의 분석결과는 다음과 같다. 첫째, 동시출현단어 분석 결과, 기업가정신과 혁신 클러스터, 기업가정신 교육 클러스터, 사회적 기업가정신과 지속가능성 클러스터, 기업성과 클러스터, 그리고 지식 및 기술이전 클러스터 등 5개의 클러스터로 구분되었다. 둘째, 토픽모델링 분석 결과, 창업환경 및 경제발전, 국제 기업가정신, 다양한 기업가정신, 벤처기업과 자본조달, 정부정책 및 지원, 사회적 기업가정신, 경영관련 이슈, 지역도시계획 및 개발, 기업가정신 교육, 기업가의 혁신과 성과, 기업가정신 연구, 기업가의 창업의도 등 12개의 토픽으로 분석되었다. 마지막으로, 시기별 토픽변화 추이 분석결과, 벤처기업과 자본조달과 기업가의 창업의도에 대한 토픽은 상승토픽으로 나타났고, 국제 기업가정신은 하강토픽으로 나타났다. 본 연구의 결과는 기업가정신 연구에 대한 전반적인 연구동향을 파악할 뿐만 아니라, 기업가정신 연구에 대한 통찰력을 제공하는데 유용할 것으로 기대된다.

코퍼스를 활용한 고빈도 프랑스어 동사 번역 유형 비교 연구

김명관 ( Kim Myung-gwan ) 전북대학교 인문학연구소 2021 건지인문학 Vol.- No.30

The keyword search and the resulting vocabulary context index show a constant length of vocabulary around the keyword. On the other hand, observing the vocabulary that appears together in a specific context relies primarily on the analysis of co-occurrence. And was the purpose of this study to observe phrases translated regularly into the parallel corpus. In this study, the search perimeter was reduced and limited to 10 high-frequency French verbs used in the literary works of Camus and Saint-Exupéry. In particular, because of the characteristics of the context, the relationship between their different translations has been reviewed. When studying the direct association between words in the corpus, it may be more effective to observe the vocabulary context index based on the existing keyword search rather than on the analysis of co-occurrence. It cannot be concluded that this method of comparative analysis is the most appropriate method for analyzing the context in the corpus. Although the results of the method of analysis presented in this study are extremely formal, they can be effectively used by human researchers to explain the translation phenomenon.

단어 동시출현관계로 구축한 계층적 그래프 모델을 활용한 자동 키워드 추출 방법

송광호(KwangHo Song),김유성(Yoo-Sung Kim) Korean Institute of Information Scientists and Eng 2017 정보과학회논문지 Vol.44 No.5

Keyword extraction can be utilized in text mining of massive documents for efficient extraction of subject or related words from the document. In this study, we proposed a hierarchical graph model based on the co-occurrence relationship, the intrinsic dependency relationship between words, and common sub-word in a single document. In addition, the enhanced TextRank algorithm that can reflect the influences of outgoing edges as well as those of incoming edges is proposed. Subsequently a novel keyword extraction scheme using the proposed hierarchical graph model and the enhanced TextRank algorithm is proposed to extract representative keywords from a single document. In the experiments, various evaluation methods were applied to the various subject documents in order to verify the accuracy and adaptability of the proposed scheme. As the results, the proposed scheme showed better performance than the previous schemes.

Revealing role of the Korean Physics Society with keyword co-occurrence network

Jo Seonbin,Park Chanung,Lee Jungwoo,Yoon Jisung,Jung Woo-Sung 한국물리학회 2022 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.81 No.4

Science and society inevitably interact with each other and evolve together. Studying the trend of science helps recognize leading topics signifcant for research and establish better policies to allocate funds efciently. Scholarly societies such as the Korean Physics Society (KPS) also play an important role in the history of science. Figuring out the role of these scholarly societies motivate our research related with our society since societies pay attention to improve our society. Although several studies try to capture the trend of science leveraging scientifc documents such as paper or patents, these studies limited their research scope only to the academic world, neglecting the interaction with society. Here we tried to understand the trend of science along with society using a public magazine named Physics and High Technology, published by the KPS. We built keyword co-occurrence networks for each time period and applied community detection to capture the keyword structure and tracked the structure’s evolution. In the networks, a research-related cluster is consistently dominant over time, and sub-clusters of the research-related cluster divide into various felds of physics, implying specialization of the physics discipline. Also, we found that education and policy clusters appear consistently, revealing the KPS’s contribution to science and society. Furthermore, we applied PageRank algorithm to selected keywords (“semiconductor”, “woman”, “evading”, etc.) to investigate the temporal change of the importance of keywords in the network. For example, the importance of the keyword “woman” increases as time goes by, indicating that academia also pays attention to gender issues refecting the social movement in recent years.

국내외 주거만족도 연구 동향의 연대별 동시 출현 단어 분석

한주연,김석경 한국주거학회 2023 한국주거학회 논문집 Vol.34 No.3

This study conducted a co-occurrence analysis to investigate the trends in domestic and international residential satisfaction research. The data for analysis was collected from the Web of Science Core Collection and the KCI-Korean Database, which yielded 1,897 international papers from 1984 to 2022 and 1,094 Korean papers from 1999 to 2022. Using VOS Viewer, a tool for academic text co-occurrence analysis, the relationship between residential satisfaction and related concepts based on clusters of co- occurring keywords were analyzed. The findings demonstrate that the scope of international residential satisfaction research has expanded over time, with increasing integration of related theories and concepts. Similarly, the considerations for creating residential spaces have broadened. In contrast, domestic research has primarily focused on identifying research questions based on existing theories, rather than exploring new theoretical concepts. Further, themes such as sustainability, green buildings, and community attachment have been studied in the context of the continuous redevelopment of apartments and expanding cities. Finally, subsequent to the COVID-19 crisis, an increased number of studies have been devoted to exploring residential satisfaction, with a corresponding shift in research attention from crimes to diseases as sources of anxiety and stress in residential settings. 주거만족도 개념이 측정하고자 하는 거주자의 만족 수준은 국가별, 시대별로 다양하게 파악된다. 따라서 본 연구는 국내와 국외의 주거 만족도 연구가 가지는 발전 방향성과 시대별, 국내외별 차이를 고찰하고, 이에서 추정되는 향후의 발전 방향성을 제언하고자 한다. 이를 위한 본 논문의 세부 목적은 다음과 같다. 첫째, 주거 만족도와 유관 개념의 연구 실태를 확인하고, 이들이 시기별로 나타낸 발전 과정을 알아보고자 한다. 둘째, 해외 연구와 다르게 나타나는 국내 연구의 특성과, 이러한 차이에서 나타나는 시사점을 파악하고자 한다. 셋째, 현재의 사회상에 큰 영향을 끼친 COVID 사태의 발생 전후로 변화한 주거 만족도 연구의 경향을 확인하고자 한다. 이를 위하여, 본 연구는 Web of Science를 기반으로 수집한 국외 논문 1,897건과 국내 논문 1,094건을 대상으로, 학술 데이터 분석 프로그램인 VOS Viewer를 이용하여 연도별 동시 출현 단어 분석을 실시하였다. 연구 결과는 다음과 같다. 우선 국외 연구의 경우 특히 발전 과정에서 별도로 연구되던 관련 영역이 융합되었고, 결과적으로 주거 만족도를 고려한 공간 구성에서의 고려 대상이 확대되었다. 한편, 국내 연구의 경우 새로운 이론과 개념을 탐구하기보다는 기존 이론을 바탕으로 연구의 대상으로 하는 문제의 해결 방안을 탐색하는 것에 초점을 맞추었으며, 이에 따라 비교적 관련 연구 영역의 융합도 적었다. 한편, 재개발 및 재건축 풍조를 기반으로 지속 가능성, 녹색 건축, 지역 공동체에 대한 애착 등의 주제가 지속적으로 연구되었다. 마지막으로, COVID 사태 이후 주거 만족도에 관한 연구 건수가 비율적으로 증가하였으며, 주거 환경에서 나타나는 거주자의 불안과 스트레스를 연구하는 경우 범죄 대신 질병을 지목하는 연구 또한 증가하였다. 본 연구는 이를 바탕으로 다음을 제언하고자 하였다. 첫째, 주거 만족도 연구 범위의 확대를 고려할 때, 보다 개인화되고 다양화된 변인을 추적하기 위해 빅데이터 방법론을 도입하는 등 주거 만족도 평가 도구의 확대가 필요하다. 둘째, 질병 등의 이유로 실내공간의 의존도가 증가하는 점을 들어, 건축물 자체의 평가 시스템의 변화 방향성을 분석하고, 이들이 주거 만족도에 끼치는 영향을 파악하여 향후 실내환경의 향상 방안을 제언하는 연구가 필요하다. 본 연구는 동시 출현 단어를 기반으로 주거 만족도 연구를 분석하여 국내외의 시계열적 연구 경향을 비교하고 변화를 추정하여, 추후 주거 만족도 연구의 새로운 방법론 발전에 기여하였다는 의의가 있다. 그러나 2020년대 초기에 이루어졌고 Web of Science에 디지털화되어 등록된 논문만을 대상으로 한다는 한계가 있다. 따라서 향후 연구는 더욱 넓은 시간적 범위를 대상으로, 2020년대의 연구가 보다 진척된 이후에 실시되어 보다 많은 정보를 대상으로 할 수 있을 것이다.

Exploring the dynamic knowledge structure of studies on the Internet of things: Keyword analysis

윤영석,조항정,최문기,이동현,이현우 한국전자통신연구원 2018 ETRI Journal Vol.40 No.6

A wide range of studies in various disciplines has focused on the Internet of Things (IoT) and cyber‐physical systems (CPS). However, it is necessary to summarize the current status and to establish future directions because each study has its own individual goals independent of the completion of all IoT applications. The absence of a comprehensive understanding of IoT and CPS has disrupted an efficient resource allocation. To assess changes in the knowledge structure and emerging technologies, this study explores the dynamic research trends in IoT by analyzing bibliographic data. We retrieved 54,237 keywords in 12,600 IoT studies from the Scopus database, and conducted keyword frequency, co‐occurrence, and growth‐rate analyses. The analysis results reveal how IoT technologies have been developed and how they are connected to each other. We also show that such technologies have diverged and converged simultaneously, and that the emerging keywords of trust, smart home, cloud, authentication, context‐aware, and big data have been extracted. We also unveil that the CPS is directly involved in network, security, management, cloud, big data, system, industry, architecture, and the Internet.

Semantic Network Analysis on the MIS Research Keywords: APJIS and MIS Quarterly 2005~2009

Sungjoon Lee,Junho Choi,Hee-Woong Kim 한국경영정보학회 2010 Asia Pacific Journal of Information Systems Vol.20 No.4

Trends in Leopard Cat (Prionailurus bengalensis) Research through Co-word Analysis

Park, Heebok,Lim, Anya,Choi, Taeyoung,Han, Changwook,Park, Yungchul Institute of Forest Science 2018 Journal of Forest Science Vol.34 No.1

This study aims to explore the knowledge structure of the leopard cat (Prionailurus bengalensis) research during the period of 1952-2017. Data was collected from Google Scholar and Research Information Service System (RISS), and a total of 482 author keywords from 125 papers from peer-reviewed scholarly journals were retrieved. Co-word analysis was applied to examine patterns and trends in the leopard cat research by measuring the association strengths of the author keywords along with the descriptive analysis of the keywords. The result shows that the most commonly used keywords in leopard cat research were Felidae, Iriomte cat, and camera trap except for its English and scientific name, and camera traps became a frequent keyword since 2005. Co-word analysis also reveals that leopard cat research has been actively conducted in Southeast Asia in conjugation with studying other carnivores using the camera traps. Through the understanding of the patterns and trends, the finding of this study could provide an opportunity for the exploration of neglected areas in the leopard cat research and conservation.