• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.06a
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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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1414-1423
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• 2014

This paper aims to analyze destination composition patterns included in package products and to identify the characteristics of the tourism destinations through social network analysis using data collected from tour packages distributed by major Korean travel agencies, targeting Singapore as a key destination. Such tour package data were transcribed into data matrix using Pajek, UCINET, and Cytoscape for analysis. The density and centralization scores derived from the analysis indicated clearly that each destination was almost connected to each other. The centrality scores indicated that the destinations with higher degree of centrality also has higher betweenness centrality within the network. Based on centrality scores, POI(point of interests) of tourism destinations showed concentration in southern area of the target region. Finally, through component analysis, subgroups of tourism destination networks are isolated. Practical implications were also presented for industry practitioners.

• Journal of the Korean Society for information Management
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• v.31 no.4
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• pp.49-68
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• 2014

The purpose of this study is to perform content analysis of research articles using the language network analysis method in Korea and catch the basic point of the language network analysis method. Six analytical categories are used for content analysis: types of language text, methods of keyword selection, methods of forming co-occurrence relation, methods of constructing network, network analytic tools and indexes. From the results of content analysis, this study found out various features as follows. The major types of language text are research articles and interview texts. The keywords were selected from words which are extracted from text content. To form co-occurrence relation between keywords, there use the co-occurrence count. The constructed networks are multiple-type networks rather than single-type ones. The network analytic tools such as NetMiner, UCINET/NetDraw, NodeXL, Pajek are used. The major analytic indexes are including density, centralities, sub-networks, etc. These features can be used to form the basis of the language network analysis method.

• Journal of Society of Preventive Korean Medicine
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• v.17 no.1
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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.

• The Mathematical Education
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• v.52 no.4
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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.

• Journal of the Korea Safety Management & Science
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• v.15 no.2
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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.

• Annual Conference on Human and Language Technology
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• 2010.10a
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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.

• Journal of the Korean earth science society
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• v.34 no.1
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• pp.81-92
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• 2013

The purpose of this study was to investigate the communication structures that science gifted students used in small group activities, and to examine the relationship between communication styles and their achievement level. Eight small groups,5 members in each, participated in small group activities, in which they discussed how to calculate the average density of the earth. The communication structures and the achievement level presented in the group activities were analyzed using Pajek, Ucinet 6.0. As a result, we classified the communication styles of science gifted students into monopolistic type and co-ownership type according to the degree of dispersion of the interaction. We also classified it into $D_H{\cdot}N_H$ type, $D_H{\cdot}N_L$ type, $D_L{\cdot}N_H$ type, and $D_L{\cdot}N_L$ type based on the density and network centralization of interaction. The achievement levels of gifted students in their group work were affected by the density of interaction and the network centralization in small group activities, not by the dispersion of interaction among the members of the groups. Therefore, we recommend that teachers make the communication relevant to solving problem when they utilize a small group activity in science teaching.

• The Journal of Fisheries Business Administration
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• v.45 no.2
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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.

• Journal of Korean Academy of Nursing
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• v.41 no.5
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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.