Trade Competence Reinforcement Strategywith Trade Network Analysis: Focused on ASEAN and KOREA

Chunsu Lee 한국무역금융보험학회(구 한국무역보험학회) 2020 무역금융보험연구 Vol.21 No.3

본 연구는 ASEAN 10개국과 한국에 대한 네트워크 중심성 분석을 통하여 다음과 같은 결과를 얻었다. 교역량 증대로 무역의 발전 가능성 및 경쟁력을 내포하고 있는 연결정도 중심성(DC : Degree Centrality)은 수출에 있어서 싱가포르, 한국, 말레이시아 순으로 높게 나타났다. 또한 수입에 있어서는 싱가포르, 베트남, 한국 순으로 높게 나타났다. 무역에 있어서 가장 빨리 국제 환경에 적응하고 대비하는 순간적응력인 근접 중심성(CC : Closeness Centrality)을 보면, 수출 과 수입 면에서 캄보디아, 인도네시아, 말레이시아, 필리핀, 싱가포르, 태국, 베트남, 한국이 모 두 비슷한 수준을 보였다. 그러나 상대적으로 미얀마, 브루나이, 라오스가 무역환경 적응과 대 비가 약한 것으로 보여주고 있다. 무역 흐름의 통제력을 나타내는 매개 중심성(BC : Betweenness Centrality)을 통해 중심국과 주 변국과의 영향력을 실증 및 시각적으로 분석한 결과를 보면, 수입과 수출에서 비슷한 결과를 보여주고 있다. 수출에 있어서 말레이시아, 싱가포르, 태국, 베트남, 한국은 수출매개 중심성이 비슷한 높은 그룹 국가에 속했다. 그리고 상대적으로 수출/수입 무역 영향력이 캄보디아, 인도 네시아는 약한 것으로 나타났다. 또한 브루나이, 라오스, 미얀마는 매우 약한 것으로 나타났다. 이러한 실증적인 네트워크 중심성 분석을 토대로 한국과 아세안 국가들에 대한 선택과 집중을 활용할 수 있는 방안을 모색 할 수 있다. 즉, 아세안 국가 중 중심성이 높은 국가를 파악하고 이를 선택하여 우선적으로 공략할 국가를 파악할 수 있다. 또한 중심성이 낮은 국가들은 다양 하고 적절한 대안을 모색할 수 있을 것이다. Purpose : This study identified important countries for ASEAN and Korea through social network analysis in which trade strategies can be selectively and intensively applied. So, This study academically identified countries with high centrality for trade expansion. and this study can be used as an efficient and policy analysis data for successful trade insurance with ASEAN countries having high centrality by applying a systematic and analytical social network methodology. Research design, data, methodology : In this study, ASEAN nodes (countries) were obtained from statistical data in Export/Import amounts from the International Trade Center (ITC). Import and export data matrix was made for 10 ASEAN countries for year 2017 and was utilized for network analysis. NetMiner program was used to analyze degree, closeness and betweenness centrality. Results : The network centrality analysis of 10 ASEAN countries and Korea in this study produced following results. In terms of degree centrality, which implies the possibility of trade development and competitiveness through increasing trade volume, Singapore, Republic of Korea and Malaysia had the highest centrality in exports in descending order. In imports, Singapore had the highest centrality and Vietnam and Republic of Korea in descending order. Closeness centrality, which reflects the instantaneous adaptation to prepare for and fast adaptation to the international environment in trade. Cambodia, Indonesia, Malaysia, the Philippines, Singapore, Thailand, Vietnam and Korea all showed similar levels of export and import closeness centrality. However, Myanmar, Brunei and Laos showed low levels of closeness centrality. In empirical and visual analysis of central nation and its neighboring nations through the betweenness centrality, which represents the control of the trade flow, showed similar results for both imports and exports. Malaysia, Singapore, Thailand, Vietnam and Korea were among the high group countries with similar export betweenness centralities. Cambodia and Indonesia seemed were relatively low in export betweenness centrality. In addition, Brunei, Laos and Myanmar were found to be very low in export betweenness centrality. Conclusions : Based on the results of this empirical network analysis, it will be possible to seek a way to utilize choice and concentration strategy for Korea and ASEAN countries. In other words, countries with high centrality can be identified and then country choice can be made to target first. As for the economic and social expectations of this study, Korea can diversity trade risks and share investment on countries with high centrality and consequently enhancing Korean trade competitiveness.

의미연결망 분석을 통해 본 장애여성 분야의 연구동향 - 2000년~2022년까지 국내등재학술지를 중심으로 -

신유리,문경주 한국지역사회학회 2023 지역사회연구 Vol.31 No.4

본 연구의 목적은 장애여성 관련 연구논문을 대상으로 장애여성 분야의 핵심주제와 주제어 간의 상호관계, 하위영역을 살펴보고, 그에 따른 시사점을 찾아 향후 이 분야의 연구주제와 학문적 방향성을 제시하는 것이다. 분석대상은 2000년부터 2022년까지 23년 동안 장애여성 관련 연구논문 242편이며, 연구 방법은 연구논문에 추출한 키워드 대상으로 정제한 후 Netminer4.5를 활용한 의미연결망 분석을 통해 키워드 빈도분석, 빈도-역빈도분석, 중심성 분석, CONCOR 분석을 실시하였다. 분석 결과로 빈도분석에서는 TF분석과 TF-IDF분석에서는 ‘취업’,‘모성’ 그리고 ‘이중차별’ 빈도가 높았으며, 중심성 분석에서는 연결 중심성과 고유벡터 중심성 모두 ‘삶의 질’과 ‘생활만족도’ 값이 높게 나타났다. CONCOR 분석에 의한 키워드 군집화는 ‘삶의 질과 모성 경험’, ‘경제활동과 삶의 불안요인‘,’이중차별의 영향력과 결혼 중심의 정체감‘,’권리기반의 욕구‘ 그리고 ’성 관련 이슈 및 일상 회복‘ 5개 군집으로 분류되었다. 이러한 결과를 바탕으로 장애여성 분야의 후속 연구의 주제와 학문적 방향성을 제안하였다. The purpose of this study is to examine the interrelationships and subfields of core topics and keywords in the field of women with disabilities through research papers on women with disabilities, and to find implications and suggest future research topics and academic directions in this field. The subject of analysis is 242 research papers related to women with disabilities for 23 years from 2000 to 2022, and the research method is TF analysis, TF-IDF analysis, Centrality analysis, and CONCOR analysis through Semantic Network Analysis using program Netminer 4.5 after refining the keywords extracted from the research papers. In the TF analysis, the frequency of 'employment', 'motherhood', and 'double discrimination' was high in the TF analysis and TF-IDF analysis, and in the Centrality analysis, the values of 'quality of life' and 'life satisfaction' were high in both Centrality analaysis and Eigenvector Centrality analysis. The clustering of keywords by CONCOR analysis was categorized into five clusters: 'Quality of Life and Motherhood Experience', 'Economic Activity and Life Insecurity', 'Impact of Double Discrimination and Marriage-Centered Identity', 'Rights-Based Needs', and 'Gender-Related Issues and Daily Recovery'. Based on these results, the researchers suggested topics and academic directions for future research in the field of women with disabilities.

의미연결망 분석을 이용한 웹툰의 연구 동향 분석

정위,최동혁 한국만화애니메이션학회 2020 만화애니메이션연구 Vol.- No.59

This study analyzed the research trends of webtoons through semantic network analysis. Webtoons have received a lot of public, practical and academic attention over the past 15 years. However, the research results have not been comprehensively compiled yet. In response, 271 related papers were selected for analysis in order to identify research trends in core research and detailed research areas in the webtoon field, and a total of 726 keywords were extracted from these papers and a semantic network analysis was conducted on 99 keywords. The semantic network analysis provides a summary of the overall research performance in network form, based on the interrelationships between the detailed concepts used in a particular research field, as well as deriving the areas of study among the detailed concepts. In this study, a detailed technique of semantic network analysis was performed: keyword frequency analysis, centrality analysis, and cohesive group analysis by CONCOR. Key research concepts of webtoon research can be derived through frequency analysis and centrality degree analysis and can capture sub-research areas of webtoons based on the structural equivalence of the terminology index. The concept of core research in the field of webtoon research was identified through frequency analysis and centrality degree analysis through semantic network analysis. Keywords for narrative, storytelling, business model, cartoon and media conversion showed high frequency, followed by narrative, storytelling, business model, cartoon, content, platform, media conversion and brand webtoon. Overall, keywords such as narratives, storytelling, business models, and cartoons appear more frequently and are more centrality degree so it was understood that they are the main concept of the webtoon research. After checking the detailed research areas of the webtoon research field, it was confirmed that there were seven detailed research areas. [Group 1] Commercial use of webtoons, [Group 2] participation of webtoon users, [Group 3] production of webtoons, [Group 4] webtoons and Internet culture, [Group 5] webtoons education, [Group 6] media OSMU, and [Group 7] webtoons copyright. Based on the above analysis results, this study presented suggestions on the trend of webtoon research and methodology, and suggested research tasks and directions that should be solved in future research. 웹툰은 지난 15년 동안 대중적으로, 실무적으로, 또 학술적으로 많은 관심을 받아 온 주제이다. 그런데 아직 그 연구 내용과 결과가 종합적으 로 정리된 바 없다. 이에 본 연구는 의미연결망 분석을 통해 웹툰 연구를 분석하여 웹툰 분야의 핵심연구 및 세부연구영역 등의 연구 동향을 포착 하였다. 의미연결망 분석의 세부 기법인 빈도분석과 연결 중심성 분석을 통해 웹툰 연구의 핵심 연구개념을 도출할 수 있다. 구조적 등위성 분석 을 통해서는 웹툰의 하위연구 영역을 포착할 수 있다. 본 연구에서는 웹툰 관련 논문 271편을 분석대상으로 선정했으며, 이들 논문에서 총 726개의 키워드를 추출하여 그중 99개의 키워드를 대 상으로 의미연결망 분석을 하였다. 의미연결망 분석의 세부 기법인 키워 드 빈도분석, 연결 중심성 분석 및 구조적 등위성 분석을 하였다. 서사, 스토리텔링, 비즈니스 모델, 만화, 매체전환의 키워드가 높은 출현빈도를 보였으며, 서사, 스토리텔링, 비즈니스 모델, 만화, 콘텐츠, 플랫폼, 매체 전환, 브랜드 웹툰의 순으로 연결 중심성이 높게 나타났다. 서사, 스토리 텔링, 비즈니스모델, 만화와 같은 키워드들이 출현빈도도 높고 연결 중심 성도 높은 편이어서 웹툰 연구에서 주목하는 중점 개념임을 파악하였다. 웹툰 연구 분야의 세부 연구영역을 확인한 결과 7개의 세부 연구영역이 있는 것으로 확인되었다. [그룹 1] 웹툰의 상업적 활용, [그룹2] 웹툰 사 용자 참여, [그룹3] 웹툰 연출, [그룹4] 웹툰과 인터넷문화, [그룹5] 웹 툰 교육, [그룹6] 매체전환, [그룹7] 웹툰 저작권으로 그룹의 특성을 제 시하였다. 이상의 연구결과를 바탕으로 본 연구는 웹툰 연구 동향 및 방 법론에 대한 시사점을 제시하였으며, 향후 연구에서 해결해야 할 연구 과 제와 방향을 제언하였다

공시연구의 네트워크 중심성 분석

오상희(Sang-Hui Oh) 한국전산회계학회 2024 전산회계연구 Vol.22 No.1

[연구목적] 본 연구는 대부분 실증적 연구가 주를 이루고 있는 국내 연구를 대상으로 ‘공시’라는 이름으로 실증적 연구가 아닌 정성적 방법으로 텍스트 분석을 통한 국내 연구의 방향을 살펴보고자 하였다. [연구방법] 본 연구는 총 872편의 회계학 관련 공시 연구의 키워드를 중심으로, 연구 표본에 대해 빈도분석을 실시하고 빈도분석을 기초로 4가지의 중심성 및 네트워크분석을 실시하였다. 이러한 분석을 위해 R 및 Python 프로그램을 사용하였다. [연구결과] 본 연구 결과는 다음과 같다. 첫째, 총 872편의 국내 연구 중 가장 높은 빈도를 나타내는 키워드는 회계ㆍ이익ㆍ기업의 순으로 나타났다. 둘째, 연결 중심성 분석 결과, 핵심이되는 키워드는 이익(0.0736), 기업(0.0664), 정보(0.0564)로 나타났다. 셋째, 근접 중심성 분석 결과, 전체 네트워크에서 한 노드와 모든 노드간의 거리를 강조한 연결성을 나타낸 키워드는이익(0.3468), 기업(0.3392), 정보(0.3349)로 나타났다. 넷째, 매개 중심성 분석 결과, 다른 노드들의 연결망을 구축하는데 가장 많은 도움을 주는 것으로 나타난 키워드는 이익(0.1499), 기업(0.1172), 회계(0.0990)와 정보(0.0842)이다. 다섯째, 위세 중심성 분석 결과, 노드들의 중심성을 가중치에 반영하는 지표로서 가장 중심성이 큰 키워드는 회계(0.6136), 국제회계기준(0.5371), 기준(0.3988)으로 나타났다. [연구의 시사점] 실증적 연구가 아닌, 텍스트 마이닝 방법을 통한 정성적 분석인 본 연구를 통해 후행 연구자들은 선행연구의 연구 동향 분석이 수월해질 것으로 기대되며, 더 나아가 더많은 연구 주제의 확장이 가능할 것으로 기대해 본다. [Purpose] This study aimed to examine the direction of domestic research through text analysis using a qualitative method rather than an empirical study in the name of ‘public disclosure’, targeting domestic research that is mostly empirical research. [Methodology] This study conducted frequency analysis on the research sample, focusing on keywords from a total of 872 accounting-related public disclosure studies, and conducted four types of centrality and network analysis based on the frequency analysis. For this analysis, R and Python programs were used. [Findings] The results of this study are as follows. First, among a total of 872 domestic studies, the keywords with the highest frequency were accounting, profit, and company in that order. Second, as a result of the Degree centrality analysis, the key keywords were profit (0.0736), company (0.0664), and information (0.0564). Third, as a result of Closeness centrality analysis, the keywords showing connectivity that emphasized the distance between one node and all nodes in the entire network were profit (0.3468), company (0.3392), and information (0.3349). Fourth, as a result of Betweenness centrality analysis, the keywords shown to be most helpful in building a network of other nodes are profit (0.1499), company (0.1172), accounting (0.0990), and information (0.0842). Fifth, as a result of the Eigenvector centrality analysis, as an indicator that reflects the centrality of nodes in the weight, the keywords with the highest centrality were accounting (0.6136), international accounting standards (0.5371), and standards (0.3988). [Implications] Through this study, which is not an empirical study but a qualitative analysis using a text mining method, it is expected that later researchers will have an easier time analyzing research trends in previous studies, and furthermore, it is expected that further expansion of research topics will be possible.

Analysis of the Agricultural Trade Network between Korea-China-Japan and ASEAN

오현주,신성민,지성태 한국무역연구원 2021 무역연구 Vol.17 No.2

The following study aims to reveal Korea, China, and Japan’s effectiveness in the ASEAN Agricultural product trade market through comparative analysis on countries’ trade data before and after the FTA took effect. Design/Methodology/Approach Considering the impact of FTA based on a timeline (2000-2018), the study analyzed trade data via Social Network Analysis to deduce accurate network conditions by detecting Degree centrality and Closeness centrality. Findings The centrality of Korea, China, and Japan between ASEAN in the agricultural trade market had grown after the FTA took effect. Most ASEAN countries showed an increased degree of centrality, especially Lao PDR had vividly increased its values among other ASEAN countries. In closeness centrality, nations like Myanmar, which previously had fewer relationships, tended to show the remarkable transition in the case of Korea and China. In the case of Japan, countries like Thailand, which used to have active relationships with others, had shown an increase. Research Implications As a result of the study, Korea, China, and Japan share their major trade partners before and after the FTA. In degree centrality, all three countries had shown similar patterns, sharing ASEAN countries with a vivid increase in centrality value. Such a result suggests that the Three countries need differentiated trade strategies. In closeness centrality, Korea and China share a similar pattern, countries with newly increased centrality value had shown. Japan had a limited closeness centrality relationship that there is no noticeable difference in the pattern of the closeness centrality after the FTA.

빅데이터 분석을 이용한 코로나 19 이후 경호 관련 학과의 사회적 인식 분석

김건희,황성용 학습자중심교과교육학회 2023 학습자중심교과교육연구 Vol.23 No.16

Objectives The purpose of this study is to analyze society's overall perception of universities' security-related departments through big data, provide basic data for the development of security-related departme. Methods Under the keyword “University + Security,” data from major domestic portal sites were collected and refined from January 20, 2020 to March 31, 2023, when the first COVID-19 confirmed case in Korea was found, and word cloud analysis, network analysis and centrality analysis, and CONCOR analysis were conducted. Results First, through word cloud analysis of the top 30 keywords of frequency, ‘police’ was found to be an overwhelmingly frequent keyword. Second, in network analysis, “police” was confirmed to be the most important keyword, and words such as “police”, “security”, “administration”, “major”, and “sports” showed high connectivity in connection centrality analysis. In the mediation centrality analysis, it was confirmed that most keywords serve as bridges between nodes and are actively connected. Third, in the CONCOR analysis, it was confirmed that it was clustered into six groups, and the cluster name was determined as ‘public security and After Graduation’, ‘Curriculum and Employment’, ‘University Promotion’, ‘physical education’, ‘Daegu’, and ‘Other’. Conclusions It was confirmed that the police and security have a close relationship in people's perceptions, and it is believed that it would be a desirable direction to properly utilize them and reflect them in security-related departments. IIt is necessary to develop and apply a curriculum that can strengthen the systematicity of education and enhance expertise to induce students' interest. It is necessary to use it as an advantage of security-related departments by increasing positive awareness and interest in bodyguards, and it will be helpful to prepare and present specific plans for students' careers and post-graduation plans, and to find and advance to public security.

Analysis of Hobby Friendships among University-affiliated Taekwondo Athletes Using Social Network Analysis

Byung-O Ahn(안병오),Sung-Min Son(손성민) 한국엔터테인먼트산업학회 2024 한국엔터테인먼트산업학회논문지 Vol.18 No.6

본 연구의 목적은 사회연결망 분석을 활용하여 대학소속 태권도 선수들의 취미 친구관계의 특성을 파악하는 데 있다. 본 연구의 대상은 대학 소속 태권도 선수 87명이다. 취미친구 관계의 분석은 사회연결망 분석을 활용하였으며, 연결망의 특성과 연결망 중심성 지표를 활용하여 관계의 특성을 제시하였다. 그리고, 그 결과를 기술통계를 활용하여 분석하였고, 시각적인 그래프를 제시하였다. 연결망 특성을 분석한 결과 전체 연결의 수는 216개, 밀도는 .032로 나타났고, 평균 연결정도는 2.622개로 평균 2.6명과 취미활동을 같이 수행하는 것으로 나타났다. 평균 거리는 3.685, 직경은 11로, 평균 연결정도에 비해, 연결망의 크기가 상대적으로 크게 나타났다. 포괄성은 1로 취미 친구가 없는 친구는 없었다. 중심성 분석결과 평균 연결정도 중심성은 1.116, 매개 중심성은 평균 .005, 위세 중심성은 평균 .037로 나타났다. 상대적으로 연결정도 중심성 분석결과가 높게 나타났고, 매개 중심성 분석결과가 낮게 나타났다. 본 연구는 사회연결망 분석을 활용하여 대학 소속 태권도 선수들의 취미 친구관계를 구조적으로 분석한 결과, 임상적 지침을 제공할 수 있는 실용적 의미를 지닌다. 분석결과, 취미 친구관계의 수는 많지만, 관계의 깊이는 상대적으로 낮았다. 따라서, 대학 소속 태권도 선수들의 취미 친구관계의 범위를 확장하고, 관계의 질적수준을 향상시킬 수 있는 프로그램의 제공이 필요할 것이다. 이는 대학 소속 태권도 선수들의 사회적 지지망을 강화하고, 심리적 안정과 균형잡힌 생활을 유도하는 데 기여할 것이며, 더 나아가서 경기력 향상에 도움을 제공할 것이다. Te purpose of this study is to identify the characteristics of hobby-related friendships among University-affiliated Taekwondo athletes using social network analysis. Study subjects was 87 University-affiliated Taekwondo athletes The analysis of hobby-related friendships utilized social network analysis, examining network characteristics and network centrality mesure to characterize the relationships. The results were analyzed using descriptive statistics and presented with visual graphs. The analysis of network properties revealed a total of 216 connections, with a density of .032. The average degree was 2.622, indicating that, on average, athletes engaged in hobby activities with 2.6 friends. The average distance was 3.685, and the diameter was 11, indicating a relatively large network size compared to the average degree. The inclusiveness was 1, meaning there were no athletes without hobby friends. The centrality analysis showed an average degree centrality of 1.116, an average betweenness centrality of .005, and an average eigenvector centrality of .037. The degree centrality results were relatively high, whereas the betweenness centrality results were low. This study utilizes social network analysis to structurally analyze hobby-related friendships among university-affiliated Taekwondo athletes, providing practical implications for clinical guidelines. The analysis reveals that while there are numerous hobby-related friendships, the depth of these relationships is relatively low. Therefore, there is a need to expand the scope of hobby-related friendships among university-affiliated Taekwondo athletes and enhance the qualitative aspects of these relationships through targeted programs. This effort will strengthen their social support network, promote psychological stability and balanced living, and ultimately contribute to improving athletic performance.

사회연결망 분석을 이용한 항만경제학 분야 공동연구의 중심성에 관한 연구

손용정 ( Son Yong-jung ) 한국도서(섬)학회 2017 韓國島嶼硏究 Vol.29 No.1

Increased joint research means increase in exchange of knowledge and academic information between scholars. Social network analysis is used to analyse the meaning of increased communication between scholars and complex relations between structural characteristics, and whether they have an effect on ones academic activity. Collaboration network is a product of social cooperation formed by researchers. Academic cooperation network can be the necessary solution to convergent themes and long-term assignments. This study analysed the structural characteristics of a co-author network as an academic community in port economics through co-author data. For this study, a total of 248 papers published recently(between 2011 and 2105) were analysed. As for the analysis of research centrality of co-authors in port economics, a network using joint research structure was visualized. Port economics has inter-disciplinary networks connecting many researchers in a number of small-scale networks. The results are as follows: First, the degree of centrality for standardized actor Gi-Tae Yeo was 6.048%, which was the largest. He has a network with another 15 researchers. Second, the standard betweenness centrality of Gi-Tae Yeo was largest recording 0.546%. Third, the largest value for eigenvector centrality developed by Gi-Tae Yeo was 74.0735%. Geon-Sik Jo, Sung-Bum Kim, Jae-Young Kim, Nam-Yeon Lee, Sung-Jae Yoo, Jin-Hang Cho, Ho-Young Lee and Sung-il Park were relatively low in their centrality degree while they were close to the top in eigenvector centrality.

기후변화교육 관련 연구 동향 분석 : 에너지기후변화교육학회 학술지를 중심으로

신영준(Shin, Youngjoon) 에너지기후변화교육학회 2021 에너지기후변화교육 Vol.11 No.1

The aim of this study analyzes the research trends in climate change education using keyword network analysis. For the study, I analyzed the abstract content of the papers of ‘Journal of Energy and Climate Change Education’, the official journal of the ‘The Korean Society of Energy and Climate Change Education’. For analysis, 93 climate change-related papers were selected based on the selection criteria from a total of 212 papers published for 10 years from 2011 to 2020. The results are as follows. First, through the analysis of the degree centrality of the keyword network, a network with ‘climate change’, ‘education’, ‘perception’, ‘application’, and ‘energy’ as a large hub is formed between keywords. Second, Even in ‘Betweenness Centrality’ analysis, it is possible to know that the keywords with higher ‘Degree Centrality’ are keywords that simultaneously play the role of an intermediary that connects other keywords. Third, in ‘Eigenvector Centrality’ analysis, ‘attitude’ and ‘primary school’ were newly classified as high-ranking keywords, unlike in ‘Degree Centrality’ and ‘Betweenness Centrality’. This means that there is a lot of research on attitudes toward climate change education research in primary schools. 본 연구는 키워드 네트워크 분석을 이용하여 기후변화 교육의 연구 동향을 분석하는 것이다. 연구를 위해 2011년부터 2020년까지 에너지기후변화교육학회의 학술지에 게재된 기후변화 관련 논문을 분석하였다. 분석 대상을 선정하기 위한 선정 틀을 세우고, 자료 선정 과정을 거쳐 10년 동안 게재된 총 212편의 게재 논문 중 93편의 논문을 선정하고, 단어 정제 과정을 거쳐 핵심 키워드를 선정하였다. 본 연구의 결과는 다음과 같다. 첫째, 키워드 네트워크 연결 중심성 분석을 통해 기후변화, 교육, 인식, 적용, 에너지가 네트워크의 허브로 작용하고 있었다. 둘째, 연결 중심성 상위 키워드가 매개 중심성 분석에서도 다른 키워드를 연결하는 중개자 역할을 동시에 하는 키워드임을 알 수 있다. 셋째, 태도와 초등학교가 연결 중심성과 매개 중심성에서와 달리 새롭게 상위 키워드로 분류되었다. 이는 초등학교에서 기후변화 교육 연구에 태도 연구가 많이 진행되고 있음을 의미한다.

Exploring a New Methodology for Studying Korean Ancient History Using Network Analysis: Focusing on negotiation data from the Eastern Jin and Sixteen Kingdoms to the Song and Northern Wei period

임동민 고려대학교 한국사연구소 2023 International Journal of Korean History Vol.28 No.2

Network analysis is a methodology that helps understand complex phenomena by visualizing member interactions. In the context of Eastern Jin, Sixteen Kingdoms, Song, Northern Wei period, network analysis can shed light on the position of Paekche and Koguryŏ by analyzing negotiation networks. While existing studies have focused on negotiations between these states and China, few have visualized the entire negotiation network or compared the positions of Paekche and Koguryŏ within the broader East Asian network. This paper explores the network analysis methodology for ancient East Asian negotiation data and conducts a pilot analysis of specific periods. The methodology for applying network analysis to ancient history involves several steps, including evaluating its suitability, quantifying the data, verifying data reliability, and analyzing and visualizing the data. Limitations of using network analysis to study ancient history include obtaining sufficient data and verifying data reliability. Ancient East Asian negotiation data is relatively more abundant than other records, making it a good candidate for network analysis. However, because negotiation data is recorded from the perspective of various actors, it is essential to verify the reliability of the data by ancient history researchers. This paper theoretically analyzes the negotiation data of the Eastern Jin, Sixteen Kingdoms, Song, and Northern Wei periods. The negotiation network analysis reveals that Eastern Jin is the most centralized country, with Koguryŏ actively engaging in negotiations and Paekche focusing on diplomacy with Eastern Jin. The centrality analysis on the negotiation frequency data during Song and Northern Wei period shows that the Song and Northern Wei had the highest centrality in negotiation frequency among 28 countries, with Koguryŏ, Tuyuhun, and Paekche also prominent. The negotiation route analysis reveals the flow of information, with the Song having the highest betweenness centrality, Koguryŏ serving as a conduit to Shilla, and Paekche controlling the route to Mahan, Kaya, and Wa. Paekche plays a crucial role as a conduit between various regions, despite having lower centrality than Koguryŏ. In conclusion, this paper explored the methodology of applying network analysis to ancient East Asian negotiation data and attempted to understand the structural structure of ancient East Asian negotiation networks by analyzing negotiation data from a specific time period.