• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2013년도 춘계학술대회
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• pp.146-148
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• 2013

본 연구는 지속가능한 물류활동에서 관심을 받고 있는 내항해운(연안해운)의 물류네트워크를 파악하기위한 기초분석으로서 연안여객항로에 관하여 네트워크를 파악하였다. 최근에 기존의 계량적 통계분석방법을 뛰어넘어 존재하고 있는 구조와 실체를 파악하기위해 사회연결망분석이 도입되고 있는 상황에서, 우리나라 연안해운항로의 네트워크를 파악하고자 하였다. 내항해운은 화물운송과 여객운송으로 구별되나 본 연구에서는 화물선만 고려하였다. 국가물류통합정보센터와 해운항만물류정보시스템을 활용하여 한국의 내항해운의 중심성을 분석하였다. 중심성 분석을 위해서 화물선 출입항 척수와 화물처리량을 변수로 사용하여 Pajek과 UCINET 등의 SNA 프로그램을 이용한 결과 내항해운 네트워크를 도식화하고 파악하였다. 결과적으로 네트워크의 node에 해당하는 항만 중에서 어떤 항만이 가장 중요한 노드인지를 찾고, 네트워크 구조가 얼마나 소수의 중요한 항만에게 집중되는 것인지를 확인하기 위하여 중심성 분석을 통해 파악하였다.

• 한국산학기술학회논문지
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• 제15권3호
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• pp.1414-1423
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• 2014

본 연구는 사회네트워크 분석을 활용해 패키지 관광 상품 안에 포함된 관광 목적지들의 구성 패턴과 POI(point of interests)를 도출하고 관광 패키지 상품으로 구성된 관광 목적지 별 특징을 알아보고자 하였다. 이를 위해, 여행사에서 판매하는 패키지 관광 상품을 조사한 후, Pajek, Cytoscape, UCINET을 활용하여 밀도, 집중도, 중심성, 관심지점 설정, 컴퍼넌트 등의 분석을 하였다. 분석결과는 다음과 같다. 첫째, 관광목적지 네트워크는 관광 목적지들 간의 연결이 고르게 이루어 진 것을 알 수 있었다. 둘째, 중심성 값을 통해 연결정도 중심성이 높으면, 매개 중심성 또한 높음을 발견하였다. 셋째, 관심지점 설정 결과, 관광 목적지 안의 관심지점은 널리 퍼져있는 것이 아닌 가까운 거리에 모여 있는 것을 발견하였다. 끝으로, 하위 네트워크 분석 결과, 관광 목적지 네트워크는 하위 집단간 파편화가 일어난 것으로 분석되었다.

• 정보관리학회지
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• 제31권4호
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• pp.49-68
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• 2014

본 연구의 목적은 국내 학술논문 데이터베이스에서 검색한 언어 네트워크 분석 관련 53편의 국내 학술논문들을 대상으로 하는 내용분석을 통해, 언어 네트워크 분석 방법의 기초적인 체계를 파악하기 위한 것이다. 내용분석의 범주는 분석대상의 언어 텍스트 유형, 키워드 선정 방법, 동시출현관계의 파악 방법, 네트워크의 구성 방법, 네트워크 분석도구와 분석지표의 유형이다. 분석결과로 나타난 주요 특성은 다음과 같다. 첫째, 학술논문과 인터뷰 자료를 분석대상의 언어 텍스트로 많이 사용하고 있다. 둘째, 키워드는 주로 텍스트의 본문에서 추출한 단어의 출현빈도를 사용하여 선정하고 있다. 셋째, 키워드 간 관계의 파악은 거의 동시출현빈도를 사용하고 있다. 넷째, 언어 네트워크는 단수의 네트워크보다 복수의 네트워크를 구성하고 있다. 다섯째, 네트워크 분석을 위해 NetMiner, UCINET/NetDraw, NodeXL, Pajek 등을 사용하고 있다. 여섯째, 밀도, 중심성, 하위 네트워크 등 다양한 분석지표들을 사용하고 있다. 이러한 특성들은 언어 네트워크 분석 방법의 기초적인 체계를 구성하는 데 활용할 수 있을 것이다.

• 대한예방한의학회지
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• 제17권1호
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• pp.1-11
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• 2013

Objectives : The aim of this research is to produce information by gathering up the data on the interaction between medicinal herbs which lie scattered in oriental medical books, and to provide people with easy access to the information by visualizing it. Methods : For this purpose, this study established the fundamental data by organizing the patterns of interaction into some kinds after selecting a part of Bonchogangmok(本草綱目) and extracting its text. In addition, in an effort to visualize the data, the study converted the data into 'net' file and visualized the interaction between medicinal herbs on Pajek. The visualization was done targeting a total of three patterns, such as 1 medicinal herb, 2 medicinal herbs, and 1 prescription. With the data on 'Chinese Lacquer(乾漆)' for 1 medicinal herb, data on 'Licorice(甘草)' and 'Chinese Lacquer(乾漆)' for 2 medicinal herbs, and data on 'Iijin-tang(二陳湯)' for prescription, the research conducted the analysis of the network using 'Kamada-Kawaii Algorithm' on Pajek. Results : As a result of the analysis, it was possible to see the meanings at a single glance as the scattered and fractional meanings were integrated with focus on medicinal herbs, but the increasing number of analyzed medicinal herbs tended to more and more complicate their relationships, thus, requiring additional work like filtering. Conclusions : Such results are fairly applicable in on-line database, and it is judged that if further research expands its scope to include systematic classification of medicinal herbs or cover other medical books than Bonchogangmok, it will create more objective, abundant information.

• 한국수학교육학회지시리즈A:수학교육
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• 제52권4호
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• pp.483-496
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• 2013

In this study, we investigated the structure of the mathematics education scholars' co-authorship relationship in papers registered at the National Research Foundation of Korea by social network analysis. The data were 354 scholars from 257 papers in 4 journals from 2009 to 2013 based on 'the 2009 revised Korean National Curriculum'. For the analysis, Pajek3 and UCINET6.3 were used. The results of this study were as follows: First, each of the mathematics education scholars is connected on average with about 5 paths of intermediate collaborators. Second, Analyses of the first component group found distinguishable scholar groups' characteristics depending on their affiliations, majors, and job statuses. Third, there were scholars having high values in network degree centrality measures despite not having high numbers in published papers. On the contrary, there sere scholars having high numbers in published papers despite not having high values in network analysis. Finally, I suggested the directions for the future research with the limitations of this study.

• 대한안전경영과학회지
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• 제15권2호
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• pp.161-166
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• 2013

The purpose of this research is to analyse the research subject in journal of Korean safety management and sciences. Total 1850 key words in 560 papers were analysed by the Pajek system which is one of well known social network analysis tool. Key words trend from 2008 to 2012 was examined. Then the relationship among each key words was visualized. There were five key words group which strongly connected among key words. The degree centrality, between centrality, proximity prestige on each key words were calculated to verify influence degree to other key words.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2010년도 제22회 한글 및 한국어 정보처리 학술대회
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• pp.94-99
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• 2010

This paper is to present how a network between words is formed. Not only have we looked at the distributivity, frequency and strength in connections between related words, but we have also presented some way to shed lights on what this network means to linguistic and social studies. The target source is morpho-analysis components of Trends 21 corpus which cover all newspaper articles from lour major newspapers, including Chosun, Joongang, Donga, and Hankyoreh, issued between 2000 and 2008. Based on nodes, links, and their connectivity indexes - density, degree, and centralizations, we have been able to retrieve and cluster related words forming the network with 20 event nouns. To reduce noise, we have considered the words whose t-score is above 1.64. By conducting both network and statistical analyses, we have presented the network of each event noun.

• 한국지구과학회지
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• 제34권1호
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• pp.81-92
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• 2013

본 연구의 목적은 소집단 활동에서 과학영재들의 의사소통 구조를 찾아보고, 이들의 의사소통 유형과 성취 수준의 관계를 알아보기 위한 것이다. 이를 위하여 과학영재들을 대상으로 5명을 한 단위로 하는 8개 소집단을 구성하고, 이들에게 지구의 밀도 구하기라는 주제로 토론식 수업을 적용하였다. Pajek과 UCINET 6.0을 활용하여 과학영재들의 대화로부터 의사소통 구조와 성취 수준을 분석하였다. 그 결과 상호작용 분산 정도에 따라 과학영재들의 의사소통 유형을 독점형과 공유형으로 분류할 수 있었다. 그리고 상호작용 밀도와 집중도에 따라 과학영재들의 의사소통 유형을 $D_H{\cdot}N_H$형, $D_H{\cdot}N_L$형, $D_L{\cdot}N_H$형, $D_L{\cdot}N_L$형으로 분류할 수 있었다. 과학영재들의 소집단 활동에서 문제 해결 성취 수준은 구성원 간 상호작용의 분산이 아니라 상호작용의 밀도와 연결망 집중도의 차에 의해 영향을 받는다는 것을 알 수 있었다. 그러므로 교사들은 소집단 활동을 활용하여 학생들을 지도할 때 문제 해결에 관련된 의사소통이 이루어지도록 지도할 필요가 있다.

• 수산경영론집
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• 제45권2호
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• pp.39-59
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• 2014

Recently the rapid changes of the social environment make both university and every each department should have to renovate and adjust all of the educational components. The most dominant and issuable change of business administration education is the Business Education Accreditation which was certified by the KABEA(Korean Association of Business Education Accreditation). And the only two department of fisheries business administration which in Gyeongsang National University and Pukyong National University has been accredited recently. Though The department of fisheries business administration in Korea has been influenced by that Accreditation, there is few research and analysis on educational change. So it is very important that research on the curricular constitution and change of the curriculum for considering the its own effect and influence. This paper aims to explore the curricular constitution, change and course fulfillment of fisheries business administration after the business education accreditation based on the case of the department of fisheries business administration in Gyeongsang National University. The analysis of fisheries business administration change will help develop sustainable curriculum and give more guideline for identifying the core of fisheries business administration. The method of analysing that in this research has adopt the social network analysis(SNA) and automated software tool which is the most dominant technique in contents analysis including the Krkwics and Pajek. The SNA is evaluated that most popular, rigorous and firm methodology for analyzing, examining and revising some concepts or objects in the context of semantics. The result of this study shows that the ratio of fisheries business administration class has been decreased but still the most fulfilled course. And English mediated class has been avoided though that sort of the class has been increased. In the view point of course fulfillment, it has been potential and inefficient problems that some classes that including financial related and accounting related class would not been accomplished appropriately. The findings of a graduate depth interview which has been done about 4 years for understanding that student show that there's some recognition gap of fisheries business administration in staffs of human resource management. And the level of job satisfaction in fisheries business still somewhat low and even worse the chance of recruitment also unsteady.

• 대한간호학회지
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• 제41권5호
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• pp.623-632
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• 2011

Purpose: This study was done to explore the knowledge structure of Korean Nursing Science. Methods: The main variables were key words from the research papers that were presented in the Journal of Korean Academy of Nursing and journals of the seven branches of the Korean Academy of Nursing. English titles and abstracts of the papers (n=5,936) published from 1995 through 2009 were included. Noun phrases were extracted from the corpora using an in-house program (BiKE Text Analyzer), and their co-occurrence networks were generated via a cosine similarity measure, and then the networks were analyzed and visualized using Pajek, a Social Network Analysis program. Results: With the hub and authority measures, the most important research topics in Korean Nursing Science were identified. Newly emerging topics by three-year period units were observed as research trends. Conclusion: This study provides a systematic overview on the knowledge structure of Korean Nursing Science. The Social Network Analysis for this study will be useful for identifying the knowledge structure in Nursing Science.