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: The purpose of this study was to analyze students experiences during clinical practice in nursing management. Methods: Assessing through computerized databases, self-reflection reports of 57 students were analyzed. Text network analysis was applied to examine the research. The keywords from each student's reports were extracted by using the programs, KrKwic and NetMiner. Results: The results of the keyword network analysis of what students learned in the nursing process included 27 words. The keyword network analysis of what students learned from the problem solving process included 23 words and the keyword network analysis of improvements in Clinical Practice of Nursing included 31 words. Conclusion: Studies related to clinical practice have been increasing, and themes of the studies have also become broader. Further research is required to investigate factors affecting clinical practice specifically in nursing management. Further comparative studies are necessary to define differences in clinical practice systems related to improving nursing students competency.

Purpose: This study aimed to explore the perspectives of frontline nurses working during the novel coronavirus disease 2019 (COVID-19) pandemic. Methods: An online qualitative study was conducted using a pragmatic approach. The data were collected in August 2021. Registered Korean nurses who provided direct nursing care to patients with confirmed COVID-19 were eligible for this study. An online survey was used to gather free-text data, which were then analyzed using machine-based network analysis and summative content analysis. Results: The analysis examined the responses of 126 participants and led to the identification of six prominent themes. These themes were further classified into three distinct levels: personal, task, and organizational. The identified themes are as follows: "collapse of personal life," "being overwhelmed by the numerous roles required," "personal protective equipment was sufficiently provided, but that is not enough," "changes in interprofessional collaboration," "inappropriate workforce management," and "diverted allocation of healthcare services and resources." Conclusion: Our findings highlight areas for improvement in resources, systems, and policies to enhance preparedness for future pandemics.

Purpose: This study aimed to analyze the experiences of new nurses during their first year of hospital employment to gather data for the development of an evidence-based new nurse residency program focused on adaptability. Methods: This study was conducted at a tertiary hospital in Korea between March and August 2021 with 80 new nurses who wrote in critical reflective journals during their first year of work. NetMiner 4.5.0 was used to conduct a text network analysis of the critical reflective journals to uncover core keywords and topics across three periods. Results: In the journals, over time, degree centrality emerged as "study" and "patient understanding" for 1 to 3 months, "insufficient" and "stress" for 4 to 6 months, and "handover" and "preparation" for 7 to 12 months. Major sub-themes at 1 to 3 months were: "rounds," "intravenous-cannulation," "medical device," and "patient understanding"; at 4 to 6 months they were "admission," "discharge," "oxygen therapy," and "disease"; and at 7 to 12 months they were "burden," "independence," and "solution." Conclusion: These results provide valuable insights into the challenges and experiences encountered by new nurses during different stages of their field adaptation process. This information may highlight the best nurse leadership methods for improving institutional education and supporting new nurses' transitions to the hospital work environment.

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.

Purpose: This study aimed to explore the public discourse surrounding care robots and identify theirpotential social values. Methods: Data related to care robots were collected from major Korean portal sites and social mediabetween January 1, 2021, and December 31, 2023, using TEXTOM. Core keywords were extractedthrough text mining. Topic modeling and semantic network analysis using UCINET 6.0 were conductedto examine keyword associations and network structure. An analytic framework based on thematicintegration was applied to synthesize the findings and derive social value domains. Results: A total of 9724 keywords were extracted from 21,216 documents. High-frequency and centralkeywords included older adult, companion robot, business, service, and artificial intelligence. Topicmodeling identified four major topics: (1) companion robots supporting care to bridge the care gap, (2)care robots leading new economic trends, (3) care robots supporting human care across various sectors,and (4) government-led expansion of social care through care robots. Eight clusters were identifiedthrough semantic network analysis. By applying the analytic framework, these clusters were systematically integrated with topic modeling results, and the social values associated with care robots werecategorized into four domains: health, labor, economy, and innovation. Conclusion: Care robots have the potential to go beyond functional support by addressing broader socialchallenges and contributing to care innovation. However, current discourse remains provider drivenwith limited public engagement. There is a need to enhance communication of care robots’ social valueand promote user-centered approaches in nursing and care practice.

This study aimed to identify latent clusters underlying suicide phenomena in South Korea from 2011 to 2020, a period marked by the country's highest suicide rates. To achieve this, 12,570 news articles were collected from BIG KINDS, a news article database of the Korea Press Foundation, and analyzed using big data techniques. Text mining was applied to article titles using Textom, followed by CONCOR analysis in UCINET6. Results were visualized using NetDraw. Through frequency analysis, 7,542 keywords were extracted. Of them, 86 high-frequency keywords were selected for network analysis. The CONCOR analysis revealed seven key thematic clusters: school, public officials, military, family, anomie, suicide attempts, and suicide locations. This study contributes to a deeper understanding of interconnected socio-cultural factors influencing suicide dynamics in South Korea. By examining a large, diverse dataset over a ten-year period, this research offers new insights into the evolution of suicide-related discourse and the role of media in shaping public attitudes. Findings of this study provide valuable implications for suicide prevention strategies, policy-making, and future research on the role of media in shaping societal perceptions of suicide.

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: This study aimed to identify the main keyword, network structure, and main topics of the national petition related to "nursing" in South Korea. Methods: Data were gathered from petitions related to the national petition in Korea Blue House related to the topic "nursing" or "nurse" from August 17, 2017, to May 9, 2022. A total of 5,154 petitions were searched, and 995 were selected for the final analysis. Text network analysis and topic modeling were analyzed using the Netminer 4.5.0 program. Results: Regarding network characteristics, a density of 0.03, an average degree of 144.483, and an average distance of 1.943 were found. Compared to results of degree centrality and betweenness centrality, keywords such as "work environment," "nursing university," "license," and "education" appeared typically in the eigenvector centrality analysis. Topic modeling derived four topics: (1) "Improving the working environment and dealing with nursing professionals," (2) "requesting investigation and punishment related to medical accidents," (3) "requiring clear role regulation and legislation of medical and nonmedical professions," and (4) "demanding improvement of healthcare-related systems and services." Conclusion: This is the first study to analyze Korea's national petitions in the field of nursing. This study's results confirmed both the internal needs and external demands for nurses in South Korea. Policies and laws that reflect these results should be developed.

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 연구의 목적은 지난 20년 간 국내 작은도서관 연구 동향을 탐색하는데 있다. 수집된 102편의 논문에서 초록을 추출하여 텍스트네트워크분석과 토픽모델링을 활용하여 빈도분석, 중심성분석, 토픽모델링을 실시하였다. 그 결과 빈도분석에서는 '독서', '주민', '문화', '활성화', '평가', '지방자치단체', '정책', '공동체' 순으로 많이 등장하였다. 중심성 분석에서는 '주민'이 연결중심성, 위세중심성, 매개중심성 모두 가장 높게 나타났다. 연결중심성과 위세중심성에서는 '문화', '참여', '지역공동체', '활성화'가 높게 나타났다. 매개중심성이 높아 세부 주제로 확장성이 높은 키워드로는 '주민', '독서', '프로그램', '지방자치단체', '정책' 등이다. 토픽모델링에서는 7개의 토픽으로 분류되었는데, '주민 참여 공동체 학습', '관련 법령 및 제도', '활성화 정책', '장서개발', '운영 평가', '문화프로그램 및 협력', '농촌 마을문고운동'으로 나타났다. 토픽모델링 시각화에서 나타난 토픽별 연결고리는 '독서'와 '교육', '자료', '협력'으로 나타났다. 분석 결과를 바탕으로 향후 연구 방향을 제시하였다. 본 연구는 지금까지 시도된 적이 없었던 작은도서관의 연구 동향을 분석함으로써 연구의 전체를 조망하고 주요 키워드와 토픽들 간의 관계를 명료화했다는 점에서 의의가 있다.

The purpose of this study is to explore research trends related to small libraries in Korea over the past 20 years. By extracting abstracts from 102 papers collected, frequency analysis, centrality analysis, and topic modeling using by text-network analysis and topic modeling. As a result, in frequency analysis, 'reading,' 'residents,' 'culture,' 'revitalization,' 'evaluation,' 'local government,' 'policies,' and 'community' appeared in the order of frequency analysis. In the centrality analysis, 'residents' was found to be the highest in all Degree centrality, Eigenvector centrality, and Betweenness centrality. In Degree centrality and Eigenvector centrality, 'culture,' 'participation,' 'local community,' and 'revitalization' were high. Keywords with high Betweenness centrality and high scalability into subtopics include 'residents,' 'reading,' 'program,' 'local government,' and 'policies.' In the topic modeling, it was classified into seven topics: 'revitalization policies,' 'collection development,' 'operation evaluation,' 'cultural programs and collaboration,' and 'the village library movement.' The topic-specific links revealed in the topic modeling visualization were 'reading,' 'education,' 'materials,' and 'collaboration.' Based on the analysis results, future research directions were suggested. This study is significant because it provides a comprehensive overview of research trends in small libraries, clarifying the relationships between major keywords and topics by analyzing research trends in small libraries that have never been attempted before.

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.

Purpose: This study aimed to identify research trends in the Journal of Korean Academy of Nursing Administration from 2013 to 2015. Methods: For this study, 171 articles were analyzed. Research designs, participants, research settings, sampling, and data analyses methods were reviewed using established analysis criteria. Keyword centrality and clusters were generated by keyword network analysis. Results: Most of studies used quantitative methods (82.5%), and sampling mainly focused on nurses (68.8%). The most commonly used data analyses methods were t-test, ANOVA, correlation, and regression. The most central keywords were turnover and empowerment. Network analysis generated four network groups: 1) burnout; 2) turnover; 3) happiness; and 4) nursing professionalism. Conclusion: The results of this study identify current trends and interests in Korean nursing administration research. The findings from this study suggest that future studies include a variety of research methods and maintain appropriate research ethics.