• Title/Summary/Keyword: NetMiner4

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Analysis of the Knowledge Structure of Research related to Reality Shock Experienced by New Graduate Nurses using Text Network Analysis (텍스트네트워크분석을 활용한 신규간호사가 경험하는 현실충격 관련 연구의 지식구조 분석)

  • Heejang Yun
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.463-469
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    • 2023
  • The aim of this study is to provide basic data that can contribute to improving successful clinical adaptation and reducing turnover of new graduate nurses by analyzing research related to reality shock experienced by new graduate nurses using text network analysis. The topics of reality shock experienced by new graduate nurses were extracted from 115 papers published in domestic and foreign journals from January 2002 to December 2021. Articles were retrieved from 6 databases (Korean DB: DBpia, KISS, RISS /International DB: Web of science, Springer, Scopus). Keywords were extracted from the abstract and organized using semantic morphemes. Network analysis and topic modeling for subject knowledge structure analysis were performed using NetMiner 4.5.0 program. The core keywords included 'new graduate nurses', 'reality shock', 'transition', 'student nurse', 'experience', 'practice', 'work environment', 'role', 'care' and 'education'. In recent articles on reality shock experienced by new graduate nurses, three major topics were extracted by LDA (Latent Dirichlet Allocation) techniques: 'turnover', 'work environment', 'experience of transition'. Based on this research, the necessity of interventional research that can effectively reduce the reality shock experienced by new graduate nurses and successfully help clinical adaptation is suggested.

Analysis of Laughter Therapy Trend Using Text Network Analysis and Topic Modeling

  • LEE, Do-Young
    • Journal of Wellbeing Management and Applied Psychology
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    • v.5 no.4
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    • pp.33-37
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    • 2022
  • Purpose: This study aims to understand the trend and central concept of domestic researches on laughter therapy. For the analysis, this study used total 72 theses verified by inputting the keyword 'laughter therapy' from 2007 to 2021. Research design, data and methodology: This study performed the development and analysis of keyword co-occurrence network, analyzed the types of researches through topic modeling, and verified the visualized word cloud and sociogram. The keyword data that was cleaned through preprocessing, was analyzed in the method of centrality analysis and topic modeling through the 1-mode matrix conversion process by using the NetMiner (version 4.4) Program. Results: The keywords that most appeared for last 14 years were laughter therapy, depression, the elderly, and stress. The five topics analyzed in thesis data from 2007 to 2021 were therapy, cognitive behavior, quality of life, stress, and the elderly. Conclusions: This study understood the flow and trend of research topics of domestic laughter therapy for last 14 years, and there should be continuous researches on laughter therapy, which reflects the flow of time in the future.

A Study of the Herb Composition in the Donguibogam Opthalmic Chapter (「동의보감(東醫寶鑑)」의 안문(眼門) 처방에서 활용된 본초 구성 연구)

  • Lee, Myungsun;Oh, Yongtaek;Kim, Anna;Gwak, Hwasun;Jeoung, Gyonghee;Kim, Hongjun
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.23 no.1
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    • pp.19-28
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    • 2019
  • Objectives This study has conducted a network analysis of individual prescriptions from the Donguibogam opthalmic Chapter. In addition, medicinal herbs used for internal use were analyzed. By analyzing the correlation of these two this study aims to investigate the significance between individual herbs used in ophthalmic diseases through network analysis. Methods Medicinal herbs from Donguibogam Opthalmic Chapter were analyzed and herbal combinations were extracted from the medicinal herbs by using the network analysis tool NetMiner 4 program. Result Based on network analysis of medicinal herbs from Donguibogam Opthalmic Chapter, frequently used medicinal herbs and herbal combinations were analyzed and were consisted of 4 communities. Conclusion This study shows the most frequent medicinal herbs and herbal combinations from the Donguibogam Opthalmic Chapter. Based on the results significant medicinal herbs and combinations can be considered and moreover can be used to produce a new combination for opthalmic diseases. Further study is required since this study has excluded the component volume of herbs and the individual frequentcy of each combination.

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Community Structure of Phytophagous Arthropods and Their Natural Enemies at Different Weed Management Systems in Apple Orchards (사과원 잡초관리 방법에 따른 사과해충 및 천적의 군집구조)

  • 김동순;이준호;전흥용;임명순;김기열
    • Korean journal of applied entomology
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    • v.34 no.3
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    • pp.256-265
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    • 1995
  • The effect ground-cover weeds on the occurrence of apple pests and their natural enemies was studied in an apple orchard in Ahnsung, Kyung-gi do during seasons of 1993 and 1994. The major apple pests and their parasitoids and predators were surveyed on the apple tree canopy in tow experimental plots; a weed-free lot where all weeds were removed by herbicide treatment, and a mowed plot where weeds were allowed restrictly by cutting with an asickle. Also, a sweep net sampling was taken from ground-cover weeds in the mowed plot. There were no significant differences in the abundance of mite and aphids between two plots, although mite densities tend to be lower in the mowed plot. The apple leaf miner, Phyllonorycter ringoniella, was significantly fewer in the mowed plot,. The densities of natural enemies of mites and aphids were slightly higher in the mowed plot. The parasitism of apple leaf miner in the mowed plot was 6~10% and 20~25% higher than that in the weed-free plot in 1993 and 994, respectively. Several natural enemies such as Apanteles kuwayamai (Braconidae), Orius sauteri (Anthocoridae), Chrysopa sp. (Chrysopidae), coccinellidae, and Eulophidae were collected both from weeds and the apple trees, However, potential apple pests were not observed on weeds. The development of insect community on the apple tree canopy was restricted by the pesticide spray on apple trees, while the insect community on weeds was maintained without significant destruction by pesticides spray on apple trees. Consequentely, the ground-cover weeds under apple trees affected occurrences of apple pests and their natural enemies in apple trees. te specialist natural enemies such as apple leaf miner's parasitoids dispersed from weeds to the apple canopy and affected apple leaf miner density significantly. However, generalist predators that have preys available on weeds stayed on weeds, hence their control effects for mites and aphids on the apple canopy were low.

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A Study on Analysis of Reading Research Trends in Korea's LIS Fields (국내 문헌정보학 분야의 독서 연구 동향 분석)

  • Kim, Hyunsook;Kang, Bora
    • Journal of Korean Library and Information Science Society
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    • v.51 no.4
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    • pp.59-81
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    • 2020
  • The purpose of this study is to compare and analyze the trend of reading research in Korea's LIS Fields in the past 20 years, divided into the 2000s and 2010s, by establishing a keyword network. To achieve this purpose, keywords were extracted from 489 related articles in the four major journals in the LIS field sourced from the Korean Journal Citation Index (KCI) and then analyzed using NetMiner4. The results of the study were as follows: First, in the case of the 2000s, 'Public Library', 'Bibliotherapy', 'Reading Education', and 'School Library' showed high values of Frequency Analysis, Degree Centrality, and Betweenness Centrality. In the 2010s, 'Reading Education', 'School Library', 'Children', 'Adolescents', and 'Public Library' showed high values of the aforementioned measures. Second, in the 2000s, the establishment of library infrastructure for reading and reading education, the improvement of policies and systems, and reading research through the reading movement were actively conducted. In the 2010s, based on the work and research done in the 2000s, customized user reading studies and various detailed reading research were conducted. Third, to meet the demands of the times for the restoration of humanity with creativity and imagination in the Fourth Industrial Revolution, reading research and professional in-depth research should be conducted in various environments beyond public and school libraries and interdisciplinary research and active joint research between the field and academia are needed.

A study on the effect of network characteristics in liner shipping alliance (네트워크 특성이 선사얼라이언스에 미치는 영향에 관한 연구)

  • Shin, Chang-Hoon;Lee, Ji-Hoon;Lee, Ji-Won
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2013.06a
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    • pp.86-87
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    • 2013
  • 해운 항만의 환경이 2000년대 들어서 10,000teu급의 대형 컨테이너선박이 집중 투입되면서 선박의 대형화와 고속화가 가속되고 있다. 이에 따라 전세계 해운시장의 업계들은 살아남기 위한 방안으로 M&A와 Alliance들을 선택하였다. 각각의 선사들은 주력하고 있는 항로들이 다르며 그에 따라 전략적인 제휴관계를 맺고 있다. 본 연구에서는 전 세계 해운 선사들의 Alliance 관계를 파악하고 그들의 사회연결망기법중의 하나인 Net-miner4를 활용하여 네트워크 구조에 대해서 깊이 있게 살펴보았다.

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A study on correlation between the network of instructors and participation in public library management in Korea (우리나라 공공도서관에서 활동하는 지역강사 네트워크와 도서관운영 참여 관계 연구)

  • Oh, Kyung-mook;Park, Sang-im
    • Proceedings of the Korean Society for Information Management Conference
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    • 2013.08a
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    • pp.139-142
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    • 2013
  • 본 연구의 목적은 우리나라 공공도서관에서 활동하는 강사간의 연결망을 분석하여 이들의 네트워크와 도서관 운영 참여에 관한 상관관계를 분석하는 것이다. 연구 데이터는 우리나라 A시의 7개 공공 도서관에서 활동한 강사를 대상으로 설문조사하여 수집하였다. 데이터 분석은 우리나라에서 개발한 연결망 분석도구인 NetMiner4를 사용하였다. 분석결과 네트워크의 Betweenness Centrality, Eigenvector Centrality, 그리고 In status Centrality가 다른 중심분석 유형보다 상관관계가 높은 것으로 나타났다. 그러나 운영참여에 관한 모든 문항의 평균값으로 한 분석 결과는 In Degree Centrality의 관계가 가장 높은 것으로 나타났다.

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Analysis of Research Topics among Library, Archives and Museums using Topic Modeling (토픽 모델링을 활용한 도서관, 기록관, 박물관간의 연구 주제 분석)

  • Kim, Heesop;Kang, Bora
    • Journal of Korean Library and Information Science Society
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    • v.50 no.4
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    • pp.339-358
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    • 2019
  • The purpose of this study is to understand the topics of the research for the establishment of cooperative platform between libraries, archives, and museums that carry out the common task of providing knowledge information in a broad sense. To achieve the purpose of this study, 637 bibliographic information on three institutions were collected from the Web version of Scopus database. Among the collected bibliographic information, 5,218 words were extracted through NetMiner V.4 and analysed topic modeling. The results are as follows: First, as a result of analyzing the frequency of word appearance according to the tf-idf weight 'Preservation' was the most hottest topic. Second, the topic modeling analysis through LDA(Latent Dirichlet Allocation) algorithm resulted in 13 topic areas. Third, as a result of expressing 13 topic areas as a network, repository construction was the central topic, and the research topics such as cooperation among institutions, conservation environment for collections, system and policy discovery, life cycle of collections, exhibition of information resources, and information retrieval were closely related to the central topic. Fourth, the trend of 13 topic areas by year 1998 is limited to the specific subjects such as system and policy discovery, information retrieval, and life cycle of collections, while the subsequent studies have been carried out after that year.

Structural Analysis of the Graduate Medical School Student's Perception about 'Good Doctor' (의학전문대학원생의 '좋은 의사'에 대한 인식 구조 분석)

  • Yoo, Hyo-Hyun;Lee, Jun-Ki;Shin, Sein
    • The Journal of the Korea Contents Association
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    • v.15 no.9
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    • pp.631-638
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    • 2015
  • The purpose of this study is to provide developmental direction of medical education by analysing graduate medical school student's perception structure about 'good doctor' and the difference between graduate medical school student's perception structure about 'good doctor' before and after clerkship. Subject of study is medical students in 1st~4th year. NetMiner 4.0 program, which is social network analysis, was used to analyse. Many of the words that students used to describe good doctor were similar. But especially lots of times they used 'patient', 'treatment', 'competence', 'heart' and a word 'patient' showed highest degree centrality. Higher density of network and mean degree centrality were shown in students who experienced clerkship. 'Diagnosis and treatment', 'medical communication', 'attitudes to patients', 'medical knowledge', 'basic competence' these 5 groups were shown in network of students before and after clerkship in common. In the case of students after clerkship, 'lifelong learning ' groups have been added, so were the 6 groups. Considering the fact that social responsibility, professionalism, medical humanities are emphasized in recent medical education, students have lack of perception structure about good doctor, therefore education of this area needs to be strengthened.

Analysis of Research Trends in Home Economics Education by Language Network Analysis: Focused on the KCI Journals (2000-2019) (언어 네트워크 분석에 기반 한 가정과교육 연구 동향 분석: 2000-2019년 KCI 등재지를 중심으로)

  • Gham, Kyoung Won;Park, Mi Jeong
    • Journal of Korean Home Economics Education Association
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    • v.32 no.3
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    • pp.179-197
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    • 2020
  • This study analyzed the trends in home economics education research using the language network analysis method, focusing on papers published in the KCI list for 20 years from 2000 to 2019. A total of 501 home economics education papers analyzed through word cloud, centrality analysis, and topic modeling using NetMiner 4.4, and the results are as follows. First, the number of papers in home economics education published in the KCI listing increased gradually to 186 in the 2000s and 315 in the 2010s. The academic journals in which home economics education papers were published have been diversified to 16 in the 2000s and 22 in the 2010s. 60% of all papers were published in the 'Journal of Korean Home Economics Education Association', and since 2018, the number of papers published in the 'Journal of Learner-Centered Curriculum and Instruction' has increased dramatically. Second, in the 2000s and 2010s, home economics education studies published in KCI were categorized into home economics education content analysis, home economics educational program development & application, curriculum analysis, perception survey & direction exploration. In the 2000s, 'Home Economics Teacher' appeared as the main keyword, and a lot of perception survey & direction exploration were conducted. Relatively, the influence of 'development' increased in the 2010s, and many studies were conducted to analyze home economics education contents and develop and apply home economics programs. This study has significance in that it analyzed the research trend of HEE by expanding the analysis target and analysis period of the existing studies.