• 보건행정학회지
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• 제27권3호
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• pp.229-240
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• 2017

Background: This study purposed to analyze the spatial accessibility of women in childbearing age to the healthcare organizations (HCOs) providing delivery services in Gangwon-do. Methods: Network analysis was applied to assess the spatial accessibility based on the travel time and road travel distance. Travel time and travel distance were measured between the location of HCOs and the centroid of the smallest administrative areas, eup, myeon, and dong in Gangwon-do. Korean Transport Database Center provided road network GIS (Geographic Information System) Database in 2015 and it was used to build the network dataset. Two types of network analysis, service area analysis and origin-destination (OD)-cost matrix analysis, applied to the created network dataset. Service area analysis defined all-accessible areas that are within a specified time, and OD-cost matrix analysis measured the least-cost paths from the HCOs to the centroids. The visualization of the number of the HCOs and the number of women in childbearing age on the Ganwon-do map and network analysis were performed with ArcGIS ver. 10.0 (ESRI, Redlands, CA, USA). Results: Twenty HCOs were providing delivery services in Gangwon-do in 2016. Over 50% of the women in childbearing age were aged more than 35 years. Service area analysis found that 89.56% of Gangwon-do area took less than 60 minutes to reach any types of HCOs. For tertiary hospitals, about 74.37% of Gangwon-do area took more than 60 minutes. Except Wonju-si and Hoengseong-gun, other regions took more than 60 minutes to reach the tertiary hospital. Especially, Goseong-gun, Donghae-si, Samcheok-si, Sokcho-si, Yanggu-gun, Cheorwon-gun, and Taebaek-si took more than 100 minutes to the tertiary hospital. Conclusion: This study provided that the accessibility toward the tertiary hospital was limited and it may cause problems in high-risk delivery patients such as over 35 years. Health policy makers will need to handle the obstetric accessibility issues in Gangwon-do.

• Asian Journal of Innovation and Policy
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• 제6권1호
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• pp.85-93
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• 2017

This paper focuses on the relationship between the characteristics of network and the productivity of scientists, which is rarely examined in previous studies. Utilizing a unique dataset from the Korean Citation Index (KCI), we examine the overall characteristics of the research network (e.g. distribution of nodes, density and mean distance), and analyze whether the network centrality is related to the scientific productivity. According to the results, firstly we have found that the collaborative research network of the Korean academics in the field of statistics and computer science is a scale-free network. Secondly, these research networks show a disciplinary difference. The network of statisticians is denser than that of computer scientists. In addition, computer scientists are located in a fragmented network compared to statisticians. Thirdly, with regard to the relationship between the researchers' network position and scientific productivity, a significant relation and their disciplinary difference have been observed. In particular, the degree centrality is the strongest predictor for the scientists' productivity. Based on these findings, some policy implications are put forward.

• 한국산림과학회지
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• 제106권3호
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• pp.340-352
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• 2017

제5차 산림기본계획은 2008년부터 2017년까지의 10년 단위 계획으로, 2013년에 대외환경 변화 등의 이유로 변경되었다. 본 연구에서는 산림기본계획에 대한 거시적 평가를 위해 빅데이터 분석을 활용하여 연도별 정책 수요와 공급의 간극을 파악하였다. 정책수요 부분은 당해 연도의 뉴스, SNS 등에서 언급된 사업과 관련된 키워드(명사 기준)를 기준으로 하고, 정책 공급 부문은 산림청이 발행한 문서를 기준으로 하여 비정형 데이터를 수집하였다. 수집한 자료는 사회연결망 분석(social network analysis)을 활용하여 네트워크 구조를 특정하고, 수요 측면의 네트워크와 공급 측면의 네트워크를 비교하여 산림청 정책 수요와 공급의 간극을 확인한다. 분석 결과, 공급부문의 네트워크 구조는 수요 부문보다 방사형이 약한 것으로 나타나 산림 이외에 다양한 주제어가 네트워크에서 상당한 영향력을 행사하고 있는 것으로 판단되었다. 또한 27대 대표사업들을 대응한 33개 주제어에 대해 수요부문과 공급부문의 기울기를 비교한 결과, 수요는 증가하지만 공급이 감소하는 주제어의 개수는 7개로 지속가능, 산림경영, 산림생물, 산림보호, 산림병해충, 도시숲, 북한이 해당되었다. 이들 주제어는 수요와 공급의 간극이 확인된 만큼, 제6차 기본계획에서는 이들 주제어에 대한 공급 강화가 필요하며, 자유게시판 분석을 통하여 신규 임업인에 대한 정보 제공 및 교육 강화도 포함되어야 할 것으로 나타났다.

• 한국해양공학회지
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• 제34권6호
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• pp.461-468
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• 2020

This study examined how national research and development (R&D) in the domain of logistics has changed recently in the Republic of Korea. We conducted basic statistical analysis and social network analysis on 5,327 logistics-related R&D projects undertaken during 2005-2019. Data for performing these analyses were collected from the R&D database of the National Science and Technology Information Service (NTIS). By constructing a co-occurrence matrix with keywords, we conducted degree and betweenness centrality analysis and visualized the network matrix to display a cluster map. This study presents our observations related to the following findings: (1) the chronical trends of logistics R&D, (2) focused fields of logistics R&D, (3) the relations among keywords, and (4) the characteristics of logistics R&D. Finally, we suggest policy implications to boost and diversify logistics R&D.

• Journal of Information Technology Applications and Management
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• 제29권3호
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• pp.75-93
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• 2022

The purpose of this study is to compare and analyze each government's ICT SME support policies to cope with changes in the ICT ecosystem paradigm. In particular, the core policies and policy trends of the Moon's government are presented through keyword network analysis and cognitive map analysis. As a result, core technologies such as ICT(Information Communication Technology), AI(Artificial Intelligence), Big Data, and 5G, which have high values of betweenness centrality and closeness centrality, are major keywords with high propagation power. The cognitive map analysis shows that the opportunity factors for the 4th industrial revolution are being activated through the ICT infrastructure circulation process, the domestic market circulation process, and the global market circulation process. This study is meaningful in terms of cognitive map analysis and utilization based on scientific analysis.

• 대한간호학회지
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• 제51권1호
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• pp.68-79
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• 2021

Purpose: This study aimed to analyze the mass and social media contents and structures related to particulate matter before and after the policy enforcement of the comprehensive countermeasures for particulate matter, derive nursing implications, and provide a basis for designing health policies. Methods: After crawling online news articles and posts on social networking sites before and after policy enforcement with particulate matter as keywords, we conducted topic and semantic network analysis using TEXTOM, R, and UCINET 6. Results: In topic analysis, behavior tips was the common main topic in both media before and after the policy enforcement. After the policy enforcement, influence on health disappeared from the main topics due to increased reports about reduction measures and government in mass media, whereas influence on health appeared as the main topic in social media. However semantic network analysis confirmed that social media had much number of nodes and links and lower centrality than mass media, leaving substantial information that was not organically connected and unstructured. Conclusion: Understanding of particulate matter policy and implications influence health, as well as gaps in the needs and use of health information, should be integrated with leadership and supports in the nurses' care of vulnerable patients and public health promotion.

• 정보처리학회논문지C
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• 제12C권2호
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• pp.289-300
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• 2005

본 논문에서는 정책 기반 네트워크 관리에 대한 중앙 집중 형태와 분산 형태의 모델을 비교하고 모델링하기 위한 분석적인 프레임워크를 제안했다. 정책기반 네트워크는 다양한 응용분야에서 도입되고 있으며, 정책의 제공구조는 응용에 따라 각기 다른 처리성능을 가질 수 있다. 따라서 우리는 각 PBNM 모델이 정책 적용을 수행할 때 성능과 확장성 측면에서 평가하였다. 측정 메트릭으로는 정책 프로비저닝 시간, 트래픽 발생량, PDP 처리율, 전역 충돌 감지에 대한 정성적 시뮬레이션을 평가하였다. 그 결과 PBNM을 도입할 때 주의 깊은 응용 특성에 대한 분석에 따라 적절한 구조가 도입되어야 함을 제시하고 있다. 본 논문에서 나타난 PBNM 모델은 현재 제안되고 있는 방식들 사이에 장단점을 정량화하기 위한 시도였다.

• Journal of Preventive Medicine and Public Health
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• 제46권1호
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• pp.28-38
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• 2013

Objectives: This study aimed to collect information that will help enhance the social networks and improve the quality of life among elderly people by observing the relationship between their social network and health-related quality of life (HRQoL) and by analyzing social network factors affecting HRQoL. Methods: This study was based on the 2008 Community Health Survey in Yeoncheon County. Three hundred elders were included in the study population. We compared the revised Lubben Social Network Scale (LSNS-R) score and Euro quality of life-5 dimensions health status index by demographic characteristics and chronic disease prevalence. We analyzed the data using multiple regression and tobit regression by setting the HRQoL as the dependent variable and social network and other characteristics as the independent variables. We analyzed social network factors by using factor analysis. Results: The LSNS-R score differed significantly according to age and existence of a spouse. According to the results from the hierarchical multiple regression analysis, the LSNS-R explained 0.10 of the variance and LSNS-R friends factor explained 0.10 of the variance. The tobit regression indicated that the contribution of the LSNS-R family size factor to the regression coefficient of the independent variable that affected the HRQoL was $B_T$=2.96, that of the LSNS-R family frequency factor was $B_T$=3.60, and that of LSNS-R friends factor was $B_T$=5.41. Conclusions: Social networks among elderly people had a significant effect on HRQoL and their networks of friends had a relatively higher effect than those of family members.

• 정보관리학회지
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• 제22권3호
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• pp.13-36
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• 2005

지식기반사회에서 문화정보의 중요성이 부각되면서 전반적인 국가경제 패러다임의 변환이 요구되고 있다. 본 연구에서는 문화정보의 중요성과 국가 문화정보망의 필요성에 대하여 정책적 분석과 현황적 분석, 그리고 경제적 분석을 통한 당위성을 제시하고자 한다. 이러한 당위성에 근거하여 새로운 국가 문화정보망의 현황과 구체적인 구축 방향을 제시함으로써 국가 차원의 문화정보의 육성정책을 강조하고자 한다.

• 한국사회복지학
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• 제62권2호
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• pp.279-306
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• 2010

본 연구는 정책네트워크이론을 적용하여 한국과 일본의 노인장기요양(개호)보험제도의 정책결정과정을 상호 비교, 분석하고 우리나라에의 정책적 이론적 시사점을 도출하고자 하였다. 연구결과로는, 한국과 일본 모두 노인요양(개호)문제에 대한 정책의제형성은 정부 주도로 이루어지고 정책과정단계별 특성에 따라 정책참여자의 범위가 확대되었으나, 두 나라간 노인요양문제에 대한 정책의제형성 배경에는 차이가 있음을 알 수 있다. 그리고 두 나라 모두 정책의제형성 초기단계부터 정책참여자간의 상호 작용은 비교적 협력적이었으나, 제도골격이 국민들에게 공표되면서 급격히 갈등관계 내지 비판적으로 변화해 갔으며, 정책과정단계별 특성에 따라 주도적 참여자들의 역할이 두드러졌고, 연계형태도 비슷한 모습을 보여주고 있다. 또한 정책과정별로 정책참여자의 범위와 정책산출에의 정책참여자들의 의견 반영 정도가 다르지만, 한국, 일본 모두 정부주도로 노인요양문제에 대한 정책 추진결과로 정책의제형성기부터 국회심의결정기까지 매우 유사한 정책네트워크모형을 보여주고 있다. 정책참여자의 범위 뿐만 아니라 개방적인 상호작용시스템 구축의 중요성, 개호보험제도 정책결정과정의 많은 한계점, 과도한 정부주도 정책네트워크로 인한 정책산출에 정부의지가 너무 많이 반영되는 단점 등이 본 연구의 시사점으로 볼 수 있다.