Earticle

본 연구는 트럼프 2기 행정부의 관세전쟁이 국내 언론 담론에서 어떻게 재현되고 있으며, 이러한 담론 구조가 한국의 무역 전략에 어떠한 함의를 갖는지 분석한다. 이를 위해 2025년 1월 20일부터 2026년 2월 17일까지 국내 4개 종합일간지에 게재된 관련 뉴스기사 7,297건을 수집하여 텍스트 네트워크 분석과 토픽모델링(LDA)을 수행하였다. 분석 결과 뉴스 담론은 ‘중국’, ‘협상’, ‘한국’, ‘무역’ 등을 중심으로 형성되었으며, 관세전쟁이 미·중 갈등 속에서 협상 과정과 한국 경제에 미치는 영향과 함께 보도되는 경향이 나타났다. 토픽모델링 결과 금융시장 반응과 거시경제 전망, 통상 협의와 외교 조정, 기업 전략과 산업 경쟁, 정상외교와 보복 조치, 핵심 산업 중심 관세 이슈, 국제질서와 경제안보 프레임의 여섯 개 주제 군집이 도출되었다. 이러한 결과는 관세전쟁이 정치적 이벤트, 시장 반응, 산업 구조 변화, 국제질서 재편이 결합된 복합적 이슈로 인식되고 있음을 보여준다. 특히 자동차·반도체·철강 등 핵심 수출 산업과 글로벌 공급망 구조에 영향을 미칠 가능성이 있으며, 이는 한국의 통상 전략이 공급망 안정성과 경제안보를 고려하는 방향으로 재검토될 필요가 있음을 시사한다.

This study analyzes how the tariff war under the second Trump administration is represented in Korean news discourse and examines its implications for Korea’s trade strategy. To this end, 7,297 news articles published in four major Korean newspapers between January 20, 2025, and February 17, 2026, were collected and analyzed using text network analysis and Latent Dirichlet Allocation (LDA) topic modeling. The results show that the news discourse is largely structured around keywords such as “China,” “negotiation,” “Korea,” and “trade,” indicating that the tariff war has been framed within the context of U.S.–China conflict while simultaneously emphasizing its implications for Korea’s economy. Topic modeling identified six major themes: financial market reactions and macroeconomic outlook, trade negotiations and diplomatic coordination, corporate strategies and industrial competition, summit diplomacy and retaliatory measures, tariff issues centered on key industries, and international order and economic security. These findings suggest that the tariff war is perceived as a multidimensional issue that combines political events, market responses, industrial restructuring, and shifts in the international economic order. In particular, the analysis indicates potential impacts on Korea’s key export industries—such as automobiles, semiconductors, and steel—as well as on global supply chain structures. This implies that Korea’s trade strategy needs to be reconsidered from a broader perspective that incorporates supply chain stability and economic security.

시진핑 국가주석의 3연임이 시작한 이래로 국가주석의 권력집중에 대한 논의가 활발하 게 이루어진 반면 국무원 총리의 권한 변화에 대한 연구는 매우 부족한 상황이다. 이와 같은 상황하에서 중국 권력 구조의 변화를 총체적으로 판단하기 어렵다. 본 연구는 리커창 총리의 업무와 공식 활동이 시진핑 집권 기간 동안 어떻게 변화하였는지를 살펴보기 위해 총리 임기기간 10년 동안의 기사를 수집하였으며 텍스트 네트워크 분석과 토픽모델 링을 수행하였다. 그 결과, 첫째 총리의 대외업무가 축소되었으며 특히 경제 교류와 협력에 관한 대외업무가 전략적교류나 국제협력 같은 정치·안보 이슈로 전환되었다. 둘째, 시장개혁/혁신성장의 비중이 줄고 경기부양과 사회정책 관련 업무의 비중이 늘어났 다. 셋째, 2016년 이래 시진핑지도가 하나의 토픽을 형성하여 총리의 다른 업무에 영향을 미치게 되었다. 이러한 변화는 대내외적 환경 변화로 기인된 것으로 보이며 위기상황을 이유로 시진핑 국가주석이 권력 강화를 도모한 것으로 보인다.

Since President Xi Jinping began his third consecutive term, there has been active discussion regarding the concentration of presidential power, yet there is a significant lack of research on changes in the authority of the State Council Premier. This situation makes it difficult to comprehensively assess changes in China's power structure. This study examines how Premier Li Keqiang's duties and official activities have evolved during Xi Jinping's tenure by collecting articles spanning his ten-year term and conducting text network analysis and topic modeling. Since 2016, Xi Jinping's leadership had formed a dominant topic affecting other duties of the Premier. These changes appear to be driven by changes in both domestic and international environments, with Xi Jinping seemingly seeking to enhance his power under crisis situations.

Purpose: This study explored the physical availability of alcoholic beverages to adolescents through online liquor sales, based on a semantic network analysis. Method: Two methods were used: 1) first, an experimental study was conducted of 300 restaurants with app and phone delivery to verify whether the IDs of adolescents were checked when purchasing alcoholic beverages; then, 2) focus group interviews with two groups (adolescent drinkers and adolescent non-drinkers) were carried out to explore characteristics of the physical availability of alcoholic beverages to adolescents, drinking motives, alcohol advertising, and drinking behaviors. Differences in ID checks in the Seoul area, delivery application type, day of the week, and delivery food type were analyzed using a frequency analysis test. A semantic network analysis was used to investigate the relationship between keywords. The network characteristics were identified using a community analysis. Results: Only 14.7% of online sales checked whether an ID or guardian was present. Thirty-seven and 20 meaningful keywords were extracted from the texts of adolescent drinkers and non-drinkers, respectively, and the community analysis revealed four sub-communities: 1) peer inluences, alcohol advertisement, physical availability of alcohol, and liquor sales for adolescent drinkers and 2) physical availability of alcohol, Alcohol temptations, alcohol-related images, and online liquor sales for non-drinkers. Keywords gave the impression of a tolerant drinking culture. The adolescents’ alcohol use was associated with the ease of physically obtaining alcohol, their positive perceptions of alcohol, family factors, peer influences, and social and cultural aspects of alcohol consumption in general. Although alcohol should not be explicitly sold to adolescents, the results of this study confirmed that it was easy for adolescents to purchase alcoholic beverages. They also confirmed that the main channel for adolescents to experience drinking or to come into contact with alcoholic beverages was the family environment, i.e., their parents’ tolerant attitude toward alcohol. Conclusion: Therefore, for the prevention of drinking among adolescents, targeting only adolescents is not effective, and a campaign to raise awareness and change the overall drinking culture of society is needed.

산림의 경제적 가치의 중요성에 따라 산림이용과 개발의 패러다임이 산림정책의 지배적 패러다임으로 등장 하였다. 산림이 웰니스의 중요한 수단으로 인식되면서 이용과 보전의 융합이 모색되었고 산림정책의 패러다임도 산 림을 이용한 휴양, 복지 및 웰니스(wellness) 등 새로운 정책가치들을 지향하게 되었다. 따라서 본 연구는 산림정책에 새로운 가치들이 어떻게 융합되었는지를 컨텐츠 분석과 네트워크 분석이 결합된 텍스트 네트워크 분석을 통해 분석 하고자 하였다. 분석결과에 따르면, 제4차 산림기본계획에 비해 제5차 산림기본계획에서는 임산물 생산에서 벗어나 산림이용과 산림휴양기능이 강화된 것으로 분석되었다. 산림을 통한 치유, 건강, 산림의 복지적인 기능 등에 대한 정 책과 산림이용과 보전이 융합된 경영기반 마련에는 미흡한 것으로 나타났으며 한국의 산림정책에서 지속가능한 융합 패러다임이 보이고 있다. 정책적 함의로서 국가산림기본계획 수립에 있어 산림이용과 보전을 융합할 수 있는 정책역 량의 강화가 필요하다는 점을 제시할 수 있다.

In accordance with importance of the economic value of forests and forest use, the paradigm of development and use has emerged as the dominant paradigm of forest policy. As forests are recognized as an important means of Wellness, the government pursues a policy convergence between forest use and conservation. So, this article analyzed whether the change of forestry convergence paradigm is reflected in policy or not. The purpose of this study was to analyze through content analysis and network analysis, whether the new combined text value are fused in how forest policy. According to the results, the function of utilization which is off the traditional forestry industry and recreation, wellness are acquired a greater importance in the 5th plan than 4th plan. But the 5th plan is insufficient to establish of foundation for forestry management and welfare functions. The evidence suggest a sign of sustained paradigm convergency in forest policy of Korea. As the policy implication in establishing national forest master plan, it is necessary to strengthen policy capability to pursue sustainable forestry utilization, which can converge forest use and conservation.

Purpose: This study aimed to identify the main keywords and research topics used in research on problematic smartphone use (PSU) among children (6-12 years old), including parental factors. Methods: The publication period for the literature was set from January 2007 to January 2022, as smartphones were first released in 2007. In total, 395 articles were identified, 230 of which were included in the final analysis. Text network analysis was performed using NetMiner 4.5. Results: Research on this topic has steadily increased since 2007, with 40 papers published in 2021. Eight main research topics were derived: group 1, parental attitudes; group 2, children's PSU behavior and parental support; group 3, family environment and behavioral addiction; group 4, social relationships; group 5, seeking solutions; group 6, parent-child relationships; group 7, children's mental health and school adaptation; and group 8, PSU in adolescents. Conclusion: Parental factors related to PSU have been studied in various aspects. However, more active research on school-age children's PSU needs to be conducted due to the paucity of research in this population compared to studies conducted among adolescents. The results of this study provide useful data for selecting research topics in the field of PSU.

Purpose: The purpose of this study is to identify the knowledge structure of the concept of resilience of dementia caregivers and to understand core topics and the trends in dementia caregiver resilience research over time. Methods: This study is a quantitative content analysis using text network analysis on the studies on resilience of caregivers of people with dementia. We searched the available literature in two scientific databases, PubMed and the Web of Science. Term frequency, the number of co-occurrence, and centrality were analyzed, and Latent Dirichlet Allocation (LDA) analysis was conducted with Net Miner program. Results: A total 187 articles were identified. The core keywords found were "care", "family", "support", "burden", "intervention", "health", "stress", "relationship", "symptom", "depression", "partner", and "quality of life". Four main topics were identified through the LDA analysis, such as "support from family and social resources", "hardships to overcome", "building strength to overcome adversity", and "coping with negative emotions". There was only one study before 2000, but the number of studies steadily increased to 50 for the years 2011-2015, and 111 for the years 2016-2020. Conclusion: This is the first study to analyze the knowledge structure and research trend of resilience research of caregivers of people with dementia through social network analysis and topic modeling. This study provides a scientific basis of the future studies in Korea. Moreover, it is meaningful in that it brought a comprehensive understanding of the studies by comprehensively analyzing the studies of the resilience of caregivers of people with dementia.

This study utilized big data to understand consumers' perceptions of bakery cafes, which have become a post-COVID-19 consumer trend This study utilized big data to understand consumers' perceptions of bakery cafes, which have become a post-COVID-19 consumer trend. By doing so, aimed to use it as a basis for understanding the meaning of consumer behavior using bakery cafes. To do so, we collected titles and original posts containing the word "bakery cafe" from web pages, blogs, and cafes on Naver, Daum, Google, and Twitter from January 1, 2020 to July 4, 2023. Through the Textom and UCINET 6.0 to frequency analysis, identify structural characteristics of the network, key word centrality analysis, and CONCOR(CONvergence of iterated CORrelation) analysis. The results of this study are as follows: First, The top 10 words with the highest frequency of appearance are ‘bakery cafe’, ‘cafe', ‘bakery', ‘bakeies', ‘big store', ‘recommended', ‘matzip', ‘coffee', ‘variety', ‘varieties'. Second, The degree centrality analysis results show that the top 10 words are ‘bakery cafe’, ‘cafe', ‘bakery', ‘big store', ‘recommended', ‘matzip', ‘coffee', ‘variety', ‘varieties', ‘dessert’. So overall, higher frequency and higher importance words indicate that they are more central to the connection. Through a CONCOR analysis, keywords were divided into three clusters. Each cluster was named as ' bakery cafe image, 'bakery cafe usage status', and 'bakery cafe selection properties'. And specially, Each cluster contains a neighborhood associated with a bakery cafe. Therefore, it is necessary to establish a marketing strategy for bakery cafes based on the results of this study.

본 연구는 최근 30년간 발표된 소아완화간호 연구를 대상으로 텍스트 네트워크 분석과 토픽 모델링을 적용하여 연구의 지식 구조와 주제적 동향을 규명하고자 하였다. PubMed, Embase, CINAHL 데이터베이 스에 등재된 소아완화분야 간호 관련 학술 논문의 초록을 분석 대상으로 하였고, 핵심 주요어의 빈도, 연결중심성, 매개중심성을 분석하였다. 토픽 모델링을 적용하였다. 총 1,252편의 초록이 최종 분석에 포함되었다. 핵심 주요어는 ‘가족’, ‘부모’, ‘요구’, ‘생애말기’, ‘경험’으로 나타났다. 토픽모델링 분석 결과, ‘생애말기 돌봄’, ‘가족의 요구 지지’, ‘서비스 전달체계’, ‘증상 관리’의 네 가지 주요 연구 주제가 도출되었다. 시기별 분석에서는 소아완화간호 연구의 꾸준한 양적 증가와 함께, 가족의 요구 지지와 생애말기 돌봄과 관련된 연구가 뚜렷하게 증가하는 경향을 보였다. 본 연구 결과는 소아완화간호 연구가 증상 중심 중재에서 가족 중심 돌봄과 생애말기 돌봄을 강조하는 전인적 돌봄으로 심화하고 있음을 보여준다. 이는 향후 소아완화간호 실무, 교육 및 연구 영역에서 가족 중심 역량과 생애말기 돌봄 역량을 강화할 필요성을 시사한다.

This study aimed to examine the knowledge structure and research topic trends in pediatric palliative nursing by applying text network analysis and topic modeling to published articles over the past 30 years. Data were extracted from abstracts of peer-reviewed articles related to pediatric palliative nursing published between 1995 and 2025. Articles were retrieved from PubMed, Embase, and CINAHL. Keyword frequency, degree centrality, and betweenness centrality were analyzed. Latent Dirichlet Allocation topic modeling was applied. A total of 1,252 abstracts were analyzed. Topic modeling revealed four major research topics: ‘end-of-life care’, ‘supporting family needs’, ‘service delivery system’, and ‘symptom control’. The findings demonstrate that pediatric palliative nursing research has evolved from a primarily symptom-focused approach toward holistic care that emphasize family-centered care and end-of-life care. These results highlight the importance of strengthening family-centered competencies and end-of-life care competencies in pediatric palliative nursing practice, education, and research.

After the 4th industrial revolution, smart logistics has become a hot issue, and scholars in logistics, engineering, transportation, and management are all being led by these changes. There have been an increasing number of studies on smart logistics in recent years, but the research fields of smart logistics are extensive, and it is not easy to distinguish the correlation between research directions and industries. Furthermore, smart logistics is a complex issue, and research on research trends is lacking. Therefore, to fill this research gap, this study aims to identify smart logistics research trends based on text mining and network analysis techniques using various software such as R, UCINET, and Power BI under the background of big data. Using these big data techniques, it is possible to grasp and analyze smart logistics research trends more objectively and generally. In addition, it is expected to be a good reference for future research.

ESG management is essential to ensure the sustainability of companies in an environment where many risks such as climate change are impacting. It is essential to promote academic research that reflects social requirements so that ESG management can be implemented in all fields of our society. The purpose of this research is to identify social issues and trends linked to ESG and determine whether academic studies are being performed to address them. The study aimed to identify social issues and trends related to ESG, news article texts from Big Kinds, a news search site, were collected and topic modeling and semantic network-based text analysis were performed. In order to understand academic research topics related to ESG, summary texts of ESG-related academic papers were collected on the RISS site, and topic modeling and semantic network-based text analysis were performed. The article confirms an increasing interest in ESG from both social and academic perspectives. However, there is a slight disparity between the two, with social trends related to ESG management gaining attention from larger companies and then spreading to small and medium-sized enterprises, while academic research on ESG tends to focus mainly on the concept and principles.

Purpose: The purpose of this study was to identify a research trend of studies related to the Do-Not-Resuscitate (DNR) decision makingprocess in Korea. Methods: Assessing through five computerized databases, 889 studies were reviewed and of these 32 were included. An integrative literature review and text network analysis were applied to examine the research. The keywords from each article’sabstracts were extracted by using a program, KrKwic. Results: The number of studies on DNR decision has been increasing, especiallysince 2011. A descriptive study design (59%) was most commonly used in the research. In relation to factors affecting DNR decision,97% of the studies stated patient factors and 66% stated family factors. ‘Patient’, ‘DNR’, ‘decision’, ‘treatment’, ‘life’, ‘family’ were themajor keywords, and ‘patient’ and ‘care’ were dominant keywords that ranked high in coappearance frequency. Conclusion: Studiesrelated to DNR decision have been increasing, and themes of the studies have also been broader. Further research is required to investigatefactors affecting DNR decision in specific populations such as cancer patients, the elderly, patients with end-stage of chronic diseasesetc. Moreover, a comparative study is necessary to define differences of research trends related to DNR decision making processbetween Korea and other countries.

본 연구는 동일한 맥락으로 인식되어 오던 학교사회복지와 교육복지에 대해, 관련된 연구주제 논문의 경향을 비교 분석하고 최근의 연구동향을 파악하는 것을 목적으로 한다. 분석을 위해 데이터베이스를 이용하여 우리나라에서 학교사회복지가 처음 시행된 1993년부터 2018년까지 발행된 국내 학술논문을 수집하였다. 수집된 2,423편의 논문 중에서 연구목적에서 벗어나거나 중복된 논문들을 제외하고 최종적으로 총 562편의 학술논문을 선정하였다. 논문의 초록을 대상으로 하여 텍스트 네트워크 분석 방법을 적용한 주요 연구결과는 다음과 같다. 첫째, 분석대상 학술논문에서 학교사회복지 관련 연구주제 논문은 206편이며, 교육복지 관련 연구주제 논문은 356편이었다. 교육복지투자우선지역지원사업(2003년)과 교육복지우선지원사업(2011년)의 실시를 기준으로 세 개의 시기별로 나누어 살펴본 출판 편수는 학교사회복지 관련 논문이 각각 48편, 93편, 65편이었고, 교육복지 관련 논문이 각각 8편, 125편, 223편이었다. 둘째, 학교사회복지 연구주제 논문과 교육복지 연구주제 논문은 중첩되는 영역과 고유한 영역이 나타났다. 가장 뚜렷한 경계가 나타나는 고유한 주제는 학교사회복지 영역의 ‘가족에 대한 사회복지사의 개입’과 교육복지 영역의 ‘취약 계층에 대한 학습권 보장을 위한 운영’이었다. 셋째, 학교사회복지 관련 논문의 시기별 특성은 1기에 ‘학교사회복지의 발전 및 확대’, 2기에 ‘학생의 학교생활에 대한 적응’, 그리고 3기에 ‘폭력과 갈등을 예방하고 관리하기 위한 학교사회복지의 적용’으로 나타났다. 교육복지 관련 논문의 시기별 특성은 각각 ‘교육복지사업의 구축’, ‘교육복지 운영의 원리’, 그리고 ‘수행과 실천에 따른 변화와 효과의 확인’으로 나타났다. 넷째, 최근 연구의 동향 파악을 위해 분석하여 도출된 하위주제 그룹은 ‘프로그램의 효과’, ‘실천으로서의 교육복지’, 그리고 ‘정책으로서의 교육복지’ 클러스터로 나타났다. 이상의 결과를 바탕으로 학교사회복지 연구와 교육복지 연구의 현재 위치를 파악하고 미래 연구의 방향에 대한 시사점을 도출하였다.

This study set out to compare the trends of research papers on school social welfare and educational welfare, which had been recognized in the same vein in Korea, and to analyze the recent trends in these areas. Korean academic papers published from 1993 to 2018 were collected by using databases. A total of 562 academic papers were selected in the end, excluding papers that were not suitable for the research purpose or overlapped. The followings were the main findings applied to the text network analysis. First, there were 206 papers on school social welfare and 356 papers on educational welfare. Second, the most distinct differences in the two areas were ‘social workers’ intervention in families’ and ‘operations to guarantee learning rights for vulnerable groups’. Third, characteristics of school social welfare papers according to the times were ‘development and expansion of school social welfare’, ‘adaptation of students’ school life’, and ‘applying school social welfare to prevent and manage violences or conflicts in schools’, respectively. Also, characteristics of educational welfare papers according to the times were ‘construction of educational welfare programs’, ‘principles of educational welfare operations’, and ‘confirming the effectiveness and change after implementation and practice’, respectively. Lastly, the sub-topics of recent research trends were ‘effects of programs’, ‘educational welfare as a practice’, and ‘educational welfare as a policy’. Based on the above results, the current position of school social welfare research and educational welfare research was identified, and implications for the direction of future research were derived.

본 연구의 목적은 텍스트 네트워크 분석을 통해 2012년부터 2021년까지 10년 동안 언론에 보도된 ‘과로사’ 기사의 주요 이슈를 살펴보고, 이것이 우리 사회에 주는 시사점을 제시하는 것이다. 이를 위하여 한국언론진흥재단에서 운영하는 빅카인즈(Big Kinds) 데이터베이스를 통해 ‘과로사’를 키워드로 검색하여 52개 언론사로부터 1,340건의 기사를 수집했다. 수집된 자료는 NetMiner 4를 활용하여 다음의 분석 과정을 걸쳤다. 첫째, 단어의 중요도를 직관적으로 이해하기 위해 빈도 기반 워드 클라우드와 TF-IDF 기반 워드 클라우드를 표시하고 그 차이점을 비교했다. 둘째, 토픽 모델링을 수행하여 5개의 토픽을 구성했다. 셋째, 선정된 토픽을 워드 네트워크를 이용하여 시각화했고, 각 토픽에 속하는 키워드의 내용타당도를 확인하기 위해 기사 원문을 인용했다. 넷째, 연도별 토픽 비중의 변화 추이를 살펴보았다. 끝으로, 분석 결과를 바탕으로 한국의 과로사 이슈에서 얻는 시사점을 ‘한국형 절망사’ 관점에서 논의하고, 과로사 문제를 해결하기 위한 정책 및 실천적 제안을 추가하였다.

The purpose of the study was to examine the key issues of ‘ death from overwork’ articles reported in the media for ten years from 2012 to 2021 using text network analysis, and to suggest implications for our society. To this end, 1,340 articles were collected from 52 media companies with the keyword ‘ death from overwork’ through the Big Kinds database operated by the Korea Press Foundation. The collected data was analyzed using NetMiner 4 as follows. First, in order to intuitively understand the importance of words, the frequency-based word cloud and the TF-IDF-based word cloud were displayed and their differences were compared. Second, five topics were composed by performing topic modeling. Third, the selected topics were visualized using a word network, and the original articles were cited to confirm the content validity of key words belonging to each topic. Fourth, the trend of changes in the proportion of topics by year was examined. Finally, based on the results of the analysis, the implications of death from overwork were discussed in terms of the ‘ Korean version of death of despair’, and policy and practical suggestions were added to resolve the issue of death from overwork.

Purpose: The purpose of this study was to identify the knowledge structure of Asian Oncology Nursing (AON) from 2002 to 2018. Methods: Abstracts from 382 studies were reviewed and analyzed using the text network analysis program, NetMiner 4.3. Keywords network trends were compared before and after 2012 when the journal title changed from Journal of Korean Oncology Nursing to Journal of Asian Oncology Nursing. Results: ‘Cancer,’ ‘patient,’ ‘quality of life,’ ‘breast,’ ‘nurse,’ ‘depression,’ ‘health,’ ‘nursing,’ ‘pain,’ ‘family’ were the top 10 most frequent keywords, and ‘cancer,’ ‘patient,’ ‘quality of life,’ ‘health,’ ‘nursing,’ ‘family,’ ‘intervention,’ ‘effect,’ ‘hospital,’ and ‘therapy’ were the dominant keywords that ranked highest in co-appearance frequency. Core keywords changed before and after 2012. After 2012, depression, health, symptom and pain were the keywords ranked that replaced nursing, education, family, and intervention from before 2012. Four subtopic groups were identified: 1) cancer treatment, education and information, 2) chemotherapy and psychological adjustment, 3) psychosocial adjustment of cancer survivors, and 4) process of cancer intervention and support. Conclusion: This study provides a general overview of research trends of the Asian Oncology Nursing Society. Findings of this study may guide future research directions in Asian Oncology Nursing research.

Purpose: This study aimed to identify and compare research topics related to disclosure of cancer diagnosis among Korea and other countries using text network analysis. Methods: Abstracts from 119 studies for the period of 2000~2015 were analyzed. An integrative literature review and text network analysis were applied to examine the research. The keywords from each article’s abstracts were extracted by using a program, KrKwic, and analyzed using network-related measures including degree centrality, and clustering using the NetMiner program. Results: The most important core keywords; ‘patient’, ‘cancer’, ‘diagnosis’, ‘disclosure’, ‘truth’, ‘physician’, ‘family’, ‘telling’, ‘information’, ‘preference’, ‘member’, ‘age’, and ‘tell’ ranked highly. Asian countries as Korea, Japan, and China showed a similar high centrality of degree of connection in family, which appeared as a factor that influences cancer diagnosis disclosure. Conclusion: These findings showed knowledge structure of disclosure of cancer diagnosis and its research trends. The 11 topics identified in this comparative study can provide further starting points for research of communication with cancer patients and their family.

Purpose: This study tried to understand discourses of life-sustaining treatments in general daily and healthcare newspapers. Methods: A text-network analysis was conducted using the NetMiner program. Firstly, 572 articles from 11 daily newspapers and 258 articles from 8 healthcare newspapers were collected, which were published from August 2013 to October 2016. Secondly, keywords (semantic morphemes) were extracted from the articles and rearranged by removing stop-words, refining similar words, excluding non-relevant words, and defining meaningful phrases. Finally, co-occurrence matrices of the keywords with a frequency of 30 times or higher were developed and statistical measures―indices of degree and betweenness centrality, ego-networks, and clustering―were obtained. Results: In the general daily and healthcare newspapers, the top eight core keywords were common: “patients,” “death,” “LST (life-sustaining treatments),” “hospice palliative care,” “hospitals,” “family,” “opinion,” and “withdrawal.” There were also common subtopics shared by the general daily and healthcare newspapers: withdrawal of LST, hospice palliative care, National Bioethics Review Committee, and self-determination and proxy decision of patients and family. Additionally, the general daily newspapers included diverse social interest or events like well-dying, euthanasia, and the death of farmer Baek Nam-ki, whereas the healthcare newspapers discussed problems of the relevant laws, and insufficient infrastructure and low reimbursement for hospice-palliative care. Conclusion: The discourse that withdrawal of futile LST should be allowed according to the patient’s will was consistent in the newspapers. Given that newspaper articles influence knowledge and attitudes of the public, RNs are recommended to participate actively in public communication on LST.

본 연구의 목적은 북한의 도서관운영방법연구소가 간행한 2년간의 「도서관일군 참고자료」(2016~2017)를 대상으로 텍스트 네트워크 분석을 시도해 보는데 있다. 텍스트 네트워크 분석은 단순 단어의 빈도분석을 뛰어넘어 단어 간의 연결성과 관계성을 파악하여 특정 단어가 얼마나 중요한 위치를 차지하는지를 측정할 수 있으며, 특정 사회현상에 대한 해석과 시사점 도출도 가능하다, 본 연구에서는 용어의 빈도분석, 연결중심성 분석, 매개중심성 분석, 군집분석을 통한 분석이 이루어졌다. 「도서관일군 참고자료」의 텍스트 네트워크 분석 결과 북한의 도서관을 이해하는데 있어서 가장 중요한 용어들은 ‘리용자’, ‘정보봉사’, ‘정보요구’, ‘정보기술’, ‘과학기술’, ‘사회적학습’, ‘콤퓨터’, ‘자료기지’, ‘정보수집’, ‘정보검색’, ‘도서관일군’ 등의 순으로 나타났다.

The purpose of this study is to attempt a text network analysis for two years of 「Reference Materials for Librarian」(2016-2017) published by the Library Operation Methodology Research Institute in North Korea. A text network analysis can measure how important a particular word by grasping the connectivity and relationship between words beyond a simple word frequency analysis, and it is also possible to interpret specific social phenomena and derive implications. Frequency, degree centrality, the betweenness centrality, community analysis of the collected words were calculated using NetMiner. As a result, the terms ‘users’, ‘information services’, ‘information needs’, ‘information technology’, ‘social learning’, ‘computers’, ‘databases’, ‘information acquisition’, ‘information retrieval’ and ‘librarian’ were appeared as important ones in understanding North Korean libraries.

Purpose: The aim of this study was to identify core keywords and topic groups in the ‘Diabetes mellitus and mobile applications’ field of research for better understanding research trends in the past 20 years. Methods: This study was a text-mining and topic modeling study including four steps such as ‘collecting abstracts’, ‘extracting and cleaning semantic morphemes’, ‘building a co-occurrence matrix’, and ‘analyzing network features and clustering topic groups’. Results: A total of 789 papers published between 2002 and 2021 were found in databases (Springer). Among them, 435 words were extracted from 118 articles selected according to the conditions: ‘analyzed by text network analysis and topic modeling’. The core keywords were ‘self-management’, ‘intervention’, ‘health’, ‘support’, ‘technique’ and ‘system’. Through the topic modeling analysis, four themes were derived: ‘intervention’, ‘blood glucose level control’, ‘self-management’ and ‘mobile health’. The main topic of this study was ‘self-management’. Conclusion: While more recent work has investigated mobile applications, the highest feature was related to self-management in the diabetes care and prevention. Nursing interventions utilizing mobile application are expected to not only effective and powerful glycemic control and self-management tools, but can be also used for patient-driven lifestyle modification.

본 연구의 목적은 노인장기요양보험제도 공공성에 대한 기존 논의를 총체적으로 살펴봄으로써, 선행연구에서 인식되는 노인장기요양보험제도 공공성이 무엇인지 확인하고 시사점을 도출하는 것이다. 이를위해 관련 선행연구를 대상으로 텍스트네트워크 분석을 하였다. 그 결과 선행연구에서 인식되는 노인장기요양보험제도 공공성은 다음과 같은 4가지와 관련됨을 확인할 수 있었다. 첫 번째는 서비스 제공주체에 상관없이 시민들은 양질의 서비스를 받아야 하며, 이를 위해 정부가 충분한 재원을 마련해야 한다는것이다. 두 번째는 정부는 제공기관에 대한 서비스 질 규제자 역할을 해야 한다는 것이다. 세 번째는중앙정부 차원에서 종사자의 처우와 인력에 대한 기준이 적절하게 마련되어야 하고, 이러한 기준이잘 지켜질 수 있도록 지방자치단체의 적극적이고 책임감 있는 역할이 필요하다는 것이다. 네 번째는지역 내 수요에 따라 국공립시설, 비영리시설, 공공시설이 적절하게 확보되어야 한다는 것이다. 마지막으로 본 논문은 분석 결과에 기반하여 노인장기요양보험제도 공공성 강화를 위한 정책적 제언을 하였다.

The purpose of this study is to identify the publicness of the long-term care insurance system recognized in previous studies and to derive implications. So this study examines the existing studies about the publicness of the long-term care insurance system, utilizing text network analysis. As a result, the publicness of the long-term care insurance system recognized in previous studies is related to the following four. First, regardless of the service provider, citizens must receive high-quality services, and the government need to be fully financed. Second, the government should act as a quality of service regulator for providers. Third, at the central government level, the workers standards and treatment should be prepared. And local governments need to play an active and responsible role for keeping the standards. Fourth, national, non-profit, and public facilities should be built based on local demand. Finally, this paper presented policy suggestions to strengthen the publicness of the long-term care insurance system.

본 연구는 1990년~2025년까지 점자 관련 언론 보도(47,927건)를 대상으로 TF-IDF 연관어 분석, LDA 토픽모델링, 가중치 기반 텍스트 네트워크 분석을 통해 점자 담론의 시계열적 변화와 구조적 특성을 분석하였다. 분석 결과, 점자 관련 보도량은 󰡔장애인차별금지법󰡕, ｢제1차 점자발전기본계획｣ 등 제도적 계기와 연동되어 증가-정체-재도약 양상을 보였으며, 특정 시기에 정책 집행과 사회적 관심이 집중될 때 언론 보도도 함께 집중되는 경향을 보였다. 시기별 키워드와 토픽 분석을 통해 점자 담론의 의제는 1990년대 특수교육․수능 편의에서 2000년대 편의시설․점자블록 중심 물리적 인프라로, 2010년대 이후 도서관․정보복지와 전자점자 서비스로, 2020년대에는 ‘접근성’, ‘ESG’ 등 이용자 권리와 기업 사회공헌을 포함하는 포용적 권리 담론으로 확장되었음이 확인되었다. 텍스트 네트워크 분석에서는 ‘도서관’, ‘점자블록’, ‘홈페이지’가 장기간 핵심 허브로 기능하고 2020년대 ‘접근성’이 새로운 중심 허브로 자리 잡으면서 점자는 시각장애인의 특수교육 도구를 넘어 정보 접근권․참정권․문화권을 매개하는 보편적 기본권으로 재인식되고 있음을 시사한다.

This study analyzed the time-series changes and structural characteristics of braille discourse through TF - IDF analysis, LDA topic modeling, and weight-based text network analysis on media reports related to braille (47,927 cases) from 1990 to 2025. As a result of the analysis, the amount of reports related to braille was linked to institutional instruments such as the ?Act on the Prohibition of Discrimination against Persons with Disabilities? and ?The First Basic Plan for Braille Development?, and when policy enforcement and social attention were concentrated at a specific time, media reports also tended to be concentrated. Through the analysis of keywords and topics by period, the agenda of braille discourse has expanded from special education and college entrance exam convenience in the 1990s to physical infrastructure centered on convenience facilities and store blocks in the 2000s, to library, information welfare, and electronic store service since the 2010s, and to inclusive discourse on rights that includes user rights and corporate social contributions such as ‘Accessibility’ and ‘ESG’ in the 2020s. The text network analysis suggests that braille is being re-recognized as a universal basic right that mediates information access, suffrage, and cultural rights beyond special education tools for the visually impaired, as ‘Library’, ‘braille block’, and ‘Homepage’ function as key hubs for a long time and ‘Accessibility’ has become a new central hub in the 2020s.