• Journal of Nutrition and Health
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• 제23권4호
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• pp.257-269
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• 1990

We designed this study to compare the total body fat content and its distribution of diabetics with those of normal subjects. Skinfold thicknesses at eight sites(subscapular, subcostal, abdomen, suprailiac, triceps, forearm, thigh and calf) and body circumferences at five sites(waist, hip, arm, thigh and calf) were measured on 220 diabetics(82 male, 138 female) and on 160 nondiabetic subjects(male 57, female 103). We matched 92 pairs with diabetics and nondiabetic control subjects by sex, age, body weight and height, and made comparisons between two groups(case-control study). The results were as follows: 1) There was no significant difference in total body fat content of diabetics and control (male ; 20.40$\pm$2.12%, 19.20$\pm$3.52%, female ; 26.46$\pm$2.53%, 27.01$\pm$2.92%, respectively). However, body muscle mass(%) in diabetic men(33.37$\pm$4.19%) was significantly lower than in nondiabetic men(38.16$\pm$7.11%). 2) Diabetics, especially women, were characterized by more central body fat than control. That is, indices of centrality of body fat distribution(subscapular/triceps skinfold : STR, central/peripheral fat : CPR) of diabetics were higher than those of control. 3) Body weight, body mass index and %IBW(current body weight$\times$100/ideal body weight) had negative correlations with duration of diabetes(r=-0.23~-0.33), but total body fat content(%) and indices of body fat distribution, such as STR, CPR, waist/hip girth ratio(WHR), and waist/thigh girth ratio(WTR), were not related to duration of diabetes.

• 농촌계획
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• 제23권2호
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• pp.9-17
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• 2017

Rural development policy has changed from hardware based development to community revitalization. The purpose of this study is to analyze social network of collaborative activity among rural organizations as fundamental of community. The material used in this study is a record of collaborative activites in the community newsletter of Hong-Dong area. 161 of collaborative activities (links) and 75 of organizations (nodes) are investigated in network. 6 collaborative activity type ('Education', 'Socializing', 'Meeting', 'Culture', 'Event' and 'Labor') is classified. 'Socializing' is inclusive of approximately half of whole network (50.67%). Closeness centraization, degree centralization and betweenness centralization are measured on top in 'Education', 'Meeting' and 'Event' type. Scatter plot analysis using degree and betweenness centrality index, 'Maeul Revitalization Center', 'Balmak Library', 'Woori-Maeul Medical Co-op', 'Support Center for Female Farmers', 'Hongdong Middle School' and 'Mundang Sustainable Agriculture Education Center' are resulted as the core organization in network. Geographical distribution of collaborative activity is not only concentated in Hong-Dong Myeon but also networked with adjacent administrative district. This study finds its purpose in the detailed analysis of network characteristics of collaborative activity within Hong-Dong area which is representative developed rural community in Korea.

• 수산해양교육연구
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• 제29권1호
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• pp.224-233
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• 2017

This study aims to analyze the research trend of lifelong education in Korea over the last 10 years based on social network analysis. To do this, a dataset has been collected from KCI (Korea Citation Index) database. According to the results of the study, firstly, the current status of lifelong education research by the year in the last 10 years showed a relatively high ratio between 2008 and 2009 and 2014 ~ 2015. Secondly, the most active networks between authors and journals constitute a key group in the order of 'Lifelong Education Study' and 'Lifelong Learning Society'. Thirdly, the research institutes with the largest number of lifelong education research papers are Soongsil University, Dong-Eui University, and Korea National Open University. In the network with the authors' network, the only authors were K8 working at Chonbuk National University, and the co-authors, H4, who works at Kyungpook National University, showed the most active network. Finally, the core keyword network based on the thesis topic was analyzed as having higher connection centrality in the order of 'lifelong education', 'lifelong educator', and 'university lifelong education'.

• 한국농촌건축학회논문집
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• 제18권2호
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• pp.19-27
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• 2016

This study typified the rural centers with myeon locations in Hwasun-gun which showed comprehensive and various class types through settlement class structure analysis. It is also for establishing the awareness of strengthening functions and facilities of the centers and the directions of strengthening it. Subjects of the study could be classified into three types including base type (Neungju-myeon), general type (Nam-myeon) and decline type (Dongbok-myeon) through the analysis of settlement class structure. Neungju-myeon location as the base type could function as the myeon location by itself and tended to serve education, health and welfare functions through the strengthening of central living functions. Nam-myeon location as the general type required sports facilities management based on the vicinity and accessibility to the senior's welfare functions. Dongbok-myeon location as the decline type required the accessibility to public health facilities and the security of vicinity to the facilities because of its high population of the aged.

• 대한지구과학교육학회지
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• 제9권1호
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• pp.65-87
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• 2016

The purpose of this study is to examine Korean journals related to science education in order to analyze research trends into Nature of science in Korea. The subject of the study is the level of Korean Citation Index (KCI-listed, KCI listing candidates), that can be searched by the key phrase, "Nature of science" in Korean language through the RISS service. In this study, the Descriptive Statistical Analysis Method is utilized to discover the number of research articles, classifying them by year and by journal. Also, the Sementic Network Analysis was conducted to Word Cloud Analysis the frequency of key words, Centrality Analysis, co-occurrence and Cluster Dendrogram Analysis throughout a variety of research articles. The results show that 91 research papers were published in 25 journals from 1991 to 2015. Specifically, the 2 major journals published more than 50% of the total papers. In relation to research fields., In addition, key phrases, such as 'Analysis', 'recognition', 'lessons', 'science textbook', 'History of Science' and 'influence' are the most frequently used among the research studies. Finally, there are small language networks that appear concurrently as below: [Nature of science - high school student - recognize], [Explicit - lesson - effect], [elementary school - science textbook - analysis]. Research topic have been gradually diversified. However, many studies still put their focus on analysis and research aspects, and there have been little research on the Teaching and learning methods.

• Smart Structures and Systems
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• 제29권2호
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• pp.361-374
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• 2022

As civil infrastructure has continued to age worldwide, its structural integrity has been threatened owing to material deteriorations and continual loadings from the external environment. Structural Health Monitoring (SHM) has emerged as a cost-efficient method for ensuring structural safety and durability. As SHM research has gradually addressed an increasing number of structure-related problems, it has become difficult to understand the changing research topic trends. Although previous review papers have analyzed research trends on specific SHM topics, these studies have faced challenges in providing (1) consistent insights regarding macroscopic SHM research trends, (2) empirical evidence for research topic changes in overall SHM fields, and (3) methodological validations for the insights. To overcome these challenges, this study proposes a framework tailored to capturing the trends of research topics in SHM through a bibliometric and network analysis. The framework is applied to track SHM research topics over 15 years by identifying both quantitative and relational changes in the author keywords provided from representative SHM journals. The results of this study confirm that overall SHM research has become diversified and multi-disciplinary. Especially, the rapidly growing research topics are tightly related to applying machine learning and computer vision techniques to solve SHM-related issues. In addition, the research topic network indicates that damage detection and vibration control have been both steadily and actively studied in SHM research.

• 무역학회지
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• 제47권3호
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• pp.177-190
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• 2022

This study is designed to identify the differences in the types and importance of trade claims at the national level. For analysis data, abstracts of arbitration and court judgments published on the website of the United Nations Commission on International Trade Law are collected and used. The target countries are China and the United States, with 102 cases from China and 59 cases from the United States. By applying topic modeling techniques to the collection decisions of China and the United States, trade claims are categorized, and the importance of each type is identified using the network centrality index derived through semantic network analysis. The analysis results are as follows. First, the main types of trade claims were the same for both the United States and China: product nonconformity, delivery issues, and payments. However, in China, the order of product nonconformity > delivery issues > payments was important, and in the United States, payments > product nonconformity > delivery issues were found to be important. This study is significant in that it presents a strategic trade claim management plan using a quantitative methodology.

• 대한지리학회지
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• 제45권2호
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• pp.256-274
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• 2010

본 연구의 목적은 국내 광고산업의 집적 특성과 광고제작의 공간적 네트워크를 고찰하는 것이다. 광고산업은 다른 비즈니스 서비스와 마찬가지로 서울의 집중도가 높기 때문에 서울 내에서의 집적 특성을 중점적으로 분석하였다. 업종별 종사자수의 지역별 비중과 더불어 로컬 모란 I와 입지계수 방법이 분석에 이용되었다. 광고산업의 강남지역 집중이 두드러지게 나타나는데, 이것은 신생 기업들의 강남지역 지향 입지와 국내 진입 외국계 광고대행사의 강남지역 선호와 관련이 있다. 또한 네트워크 분석 방법을 이용해 TV광고 제작의 공간적 네트워크를 분석했다. 광고대행사-광고제작사 네트워크 매트릭스를 구축하고, 이를 지역 매트릭스로 변환한 후, 중심성 분석과 중개 분석을 통해 광고제작의 공간적 네트워크를 고찰하였다. 이를 통해 강남 세부지역의 상이한 역할과 지위를 알 수 있는데, 강남지역 내부와 외부의 광고대행사들이 강남지역에 있는 광고제작사에 대부분의 광고제작을 아웃소싱하고 있다. 이러한 분석을 통해 광고산업이 강남지역이 광고제작의 목적지로서 뿐 아니라 강남지역에서 광고제작 네트워크가 순환되고 있음을 알 수 있다.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
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• pp.26-51
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• 2003

Large scale protein interaction maps provide a new, global perspective with which to analyse protein function. PSIMAP, the Protein Structural Interactome Map, is a database of all the structurally observed interactions between superfamilies of protein domains with known three-dimensional structure in thePDB. PSIMAP incorporates both functional and evolutionary information into a single network. It makes it possible to age protein domains in terms of taxonomic diversity, interaction and function. One consequence of it is to predict the most important protein domain structure in evolution. We present a global analysis of PSIMAP using several distinct network measures relating to centrality, interactivity, fault-tolerance, and taxonomic diversity. We found the following results: ${\bullet}$ Centrality: we show that the center and barycenter of PSIMAP do not coincide, and that the superfamilies forming the barycenter relate to very general functions, while those constituting the center relate to enzymatic activity. ${\bullet}$ Interactivity: we identify the P-loop and immunoglobulin superfamilies as the most highly interactive. We successfully use connectivity and cluster index, which characterise the connectivity of a superfamily's neighbourhood, to discover superfamilies of complex I and II. This is particularly significant as the structure of complex I is not yet solved. ${\bullet}$ Taxonomic diversity: we found that highly interactive superfamilies are in general taxonomically very diverse and are thus amongst the oldest. This led to the prediction of the oldest and most important protein domain in evolution of lift. ${\bullet}$ Fault-tolerance: we found that the network is very robust as for the majority of superfamilies removal from the network will not break up the network. Overall, we can single out the P-loop containing nucleotide triphosphate hydrolases superfamily as it is the most highly connected and has the highest taxonomic diversity. In addition, this superfamily has the highest interaction rank, is the barycenter of the network (it has the shortest average path to every other superfamily in the network), and is an articulation vertex, whose removal will disconnect the network. More generally, we conclude that the graph-theoretic and taxonomic analysis of PSIMAP is an important step towards the understanding of protein function and could be an important tool for tracing the evolution of life at the molecular level.

• 한국컴퓨터정보학회논문지
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• 제14권10호
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• pp.43-53
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• 2009

집단지성을 이용한 지식검색 서비스는 개방적 구조와 축적된 자료를 공유할 수 있다는 커뮤니티적인 특성으로 큰 인기를 얻고 있다. 하지만 방대한 지식공유 속에서 사용자가 진정으로 원하는 답변 획득은 점점 더 어려워지고 있다. 최근 알고리즘에서 가장 정교하다고 평가 받는 구글을 통해 상위에 랭크된 검색 결과들 중에는 집단지성을 통해 구축된 위키피디아, 야후 Q/A와 같은 소셜 검색엔진의 검색 결과들이 상당수 존재한다. 본 논문은 대부분의 질문은 인간으로부터 문제해결의 실마리를 얻을 수 있다는 점과 온라인상의 사용자에 대한 연구를 통해 지식검색 서비스 사용자 중 영향력 자를 찾는 것에 목적을 둔다. 이에 국내 소셜 검색엔진의 대표인 네이버 지식iN을 중심으로 지식검색내의 사용자 활동성과 신뢰성을 소셜 네트워크 기반으로 정의하고, 사용자간의 관계를 중앙성으로 분석하는 영향력 지수 알고리즘을 제안한다. 제안된 알고리즘을 통한 영향력 지수는 지식검색 서비스에서 문제 해결의 실마리를 가진 사용자를 랭킹화 함으로써 질문에 적합하고신뢰성 있는 답변을 하는 사용자를 분별하는 지표가 되며 이를 바탕으로 지식검색 서비스내의 영향력 자를 식별 가능하게 된다. 이는 지식검색 서비스사용자의 최대 목적인 사용자가필요로 하는 정보와 지식을 보다 용이하게 획득 가능케 함으로써 검색 만족도 향상에 큰 기여를 할 것이다.