• 제목/요약/키워드: Social network indicators

검색결과 82건 처리시간 0.024초

국내 SCM 연구의 저자동시인용분석 (An Author Co-citation Analysis of the Researches on the Supply Chain Management)

  • 김미애;서창교
    • 한국정보시스템학회지:정보시스템연구
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    • 제24권4호
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    • pp.43-60
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    • 2015
  • Purpose This study intended to introduce new approaches to identify the intellectual structure of supply chain management(SCM) researches, which combines author co-citation analysis(ACA) and social network analysis(SNA). Design/methodology/approach We searched RISS(www.riss.kr) and NDSL(www.ndsl.or.kr) database and collected 292 academic papers on supply chain management between 2001 and 2011. Among 9,637 references of these papers, we analyzed 1,848 references that were published by domestic authors. We produced a correlation matrix of 32 author co-citation matrix and conducted multi-variate statistical analysis such as factor analysis. We also performed social network analysis to identify the main researchers in SCM. Findings We found four main sub-areas of supply chain management research: SCM adoption factors, logistics, SCM performance, and SCM structure. We could present the authors who played important roles within the network by using SNA indicators. The finding of this research also suggests more collaborations among domestic researchers are required to overcome the low co-citation rates among domestic authors.

물류 분야 학술지의 공저자 네트워크 및 연구주제 분석 (A Study on Co-authorship Network in the Journals of a Branch of Logistics)

  • 임혜선;장태우
    • 산업공학
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    • 제25권4호
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    • pp.458-471
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    • 2012
  • In this study, we investigate the cooperative relationships between researchers who have co-authorship in the logistics-related journals in Korea by using social network analysis (SNA). We analyzed the co-authorship data of 781 articles published from 2005 to 2011 in four journals of 'Logistics Study', 'Journal of Korean Society of SCM', 'Korea Logistics Review' and 'Journal of Shipping and Logistics.' We examined the trend of cooperative research in the field of logistics with basic data of the co-authorship network. Then, we analyzed structural properties of the network and the sub-networks of research groups having co-authorship. We could verify the authors who play important roles within the network by using SNA indicators. In addition, we constructed the keyword networks based on the keyword data of all articles by research groups in order to understand the research topics of each group, and thereby we could draw several implications on the cooperative researches in the field of logistics.

지속가능한 고속철도망 계획을 위한 투자우선순위 선정에 관한 연구 : 다원-속성 효용이론을 이용하여 (Priority Decision Making for Planning A Long-term Sustainable High-speed Rail Network using Multi-Attribute Utility Theory)

  • 박진경;엄진기;이준
    • 한국철도학회논문집
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    • 제11권1호
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    • pp.45-53
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    • 2008
  • 본 연구는 중장기적 고속철도망 계획을 위한 투자우선순위를 전통적인 평가기법에서 벗어나 지속가능 한 교통의 관점에서 이를 분석할 수 있는 방법론을 제안하고, 다원-개준 의사결정기법 중의 하나인 다원-속성 효용이론(MAUT)을 이용하여 이를 분석하였다. 지속가능 한 교통지표는 경제지표, 사회지표 및 환경지표로 구분하였으며, 지속가능 한 고속철도망 지수 분석 결과 경부와 호남 고속철도 이후에 건설되어야 할 우리나라의 고속철도망 노선축의 투자우선순위는 동서축, 남해축, 서해축 등의 순서로 분석되었다.

Digitization of Education as a Condition for the Development of Modern Society

  • Osaula, Vadym;Titkova, Olena;Haludzina-Horobets, Viktoriia;Sabat, Nadiia;Ladonia, Kateryna
    • International Journal of Computer Science & Network Security
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    • 제21권12spc호
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    • pp.491-494
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    • 2021
  • The article clarifies the definition and components of the ICT competence of future teachers, justifies the introduction of a motivational-value component. ICT competence of future teachers has a four-component structure: motivational-value, general-use, general pedagogical, subject-pedagogical components. The levels (reproductive, productive, creative), criteria and indicators of the formation of ICT-competence of students of a pedagogical college are determined, the content of these levels (reproductive, productive, creative) is disclosed, respectively.

Regional Level of Inclusive Development

  • Shashyna, Maryna V.;Butko, Mykola P.;Tulchynska, Svitlana O.
    • International Journal of Computer Science & Network Security
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    • 제21권5호
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    • pp.133-138
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    • 2021
  • The concept of inclusive development provides equal opportunities for all participants in access to the labor market and resource allocation. This concept emphasizes the equality of human capital, the ecological state of the environment, social protection and food security. This concept is fundamentally different from the standard perception of economic growth, because it has broader goals than simply increasing incomes and GDP. It rejects the position that positive results are an automatic consequence of growth; here the basic condition is human development and increase of its well-being, reduction of poverty. Therefore, it is not the result of distribution that becomes primary, but the involvement in the process of social reproduction. An alternative system of characterization of the country's position according to the resulting indicator of the Inclusive Development Index was presented at the World Economic Forum in Davos. In this research the methodical development of the system of estimation of the index of inclusive development for regions of the NUTS 4 level of the European classification is resulted.

Entropy-TOPSIS 기법을 활용한 군집별 상수도관망 위험도 관리순위 결정 (Prioritization decision for hazard ranking of water distribution network by cluster using the Entropy-TOPSIS method)

  • 박해금;김기범;형진석;김태현;구자용
    • 상하수도학회지
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    • 제35권6호
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    • pp.517-531
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    • 2021
  • The water supply facilities of Korea have achieved a rapid growth, along with the other social infrastructures consisting a city, due to the phenomenon of urbanization according to economic development. Meanwhile, the level of water supply service demanded by consumer is also steadily getting higher in keeping with economic growth. However, as an adverse effect of rapid growth, the quantity of aged water supply pipes are increasing rapidly, Bursts caused by pipe aging brought about an enormous economic loss of about 6,161 billion won as of 2019. These problems are not only worsening water supply management, also increasing the regional gap in water supply services. The purpose of this study is to classify hazard evaluation indicators and to rank the water distribution network hazard by cluster using the TOPSIS method. In conclusion, in this study, the entropy-based multi-criteria decision-making methods was applied to rank the hazard management of the water distribution network, and the hazard management ranking for each cluster according to the water supply conditions of the county-level municipalities was determined according to the evaluation indicators of water outage, water leakage, and pipe aging. As such, the hazard ranking method proposed in this study can consider various factors that can impede the tap water supply service in the water distribution network from a macroscopic point of view, and it can be reflected in evaluating the degree of hazard management of the water distribution network from a preventive point of view. Also, it can be utilized in the implementation of the maintenance plan and water distribution network management project considering the equity of water supply service and the stability of service supply.

Big Data Analysis on the Perception of Home Training According to the Implementation of COVID-19 Social Distancing

  • Hyun-Chang Keum;Kyung-Won Byun
    • International Journal of Internet, Broadcasting and Communication
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    • 제15권3호
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    • pp.211-218
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    • 2023
  • Due to the implementation of COVID-19 distancing, interest and users in 'home training' are rapidly increasing. Therefore, the purpose of this study is to identify the perception of 'home training' through big data analysis on social media channels and provide basic data to related business sector. Social media channels collected big data from various news and social content provided on Naver and Google sites. Data for three years from March 22, 2020 were collected based on the time when COVID-19 distancing was implemented in Korea. The collected data included 4,000 Naver blogs, 2,673 news, 4,000 cafes, 3,989 knowledge IN, and 953 Google channel news. These data analyzed TF and TF-IDF through text mining, and through this, semantic network analysis was conducted on 70 keywords, big data analysis programs such as Textom and Ucinet were used for social big data analysis, and NetDraw was used for visualization. As a result of text mining analysis, 'home training' was found the most frequently in relation to TF with 4,045 times. The next order is 'exercise', 'Homt', 'house', 'apparatus', 'recommendation', and 'diet'. Regarding TF-IDF, the main keywords are 'exercise', 'apparatus', 'home', 'house', 'diet', 'recommendation', and 'mat'. Based on these results, 70 keywords with high frequency were extracted, and then semantic indicators and centrality analysis were conducted. Finally, through CONCOR analysis, it was clustered into 'purchase cluster', 'equipment cluster', 'diet cluster', and 'execute method cluster'. For the results of these four clusters, basic data on the 'home training' business sector were presented based on consumers' main perception of 'home training' and analysis of the meaning network.

소셜네트워크 분석과 Co-word 분석을 사용한 Altmetric 연구 개발동향 (Development Tendency of Altmetrics Research: Using Social Network Analysis and Co-word Analysis)

  • 이현창;이가배;신성윤
    • 한국정보통신학회논문지
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    • 제21권11호
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    • pp.2089-2094
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    • 2017
  • 알트메트릭스는 인용을 기반으로 한 전통적인 지표를 보완하기 위한 측정 지표이면서 정략적 데이터이다. 이러한 알트메트릭스 에 관한 연구는 지난 몇 년간 전통적인 계량 정보학의 보완에 힘입어 중요한 비중을 차지해오고 있다. 본 논문은 알트메트릭스 연구 현황과 동향을 파악하는 것을 목적으로 한다. 총 187건의 논문을 분석하였으며, 이를 통해 2005년이후로 알트메트릭스 연구에 지속적인 상승이 있음을 알 수 있다. 소셜 네트워크 분석과 co-word 분석을 사용하여 저자 협동 네트워크와 키워드 공존 네트워크를 구축한다. 계층적 클러스터링으로 4개의 알트메트릭스 연구가 발견되었으며, 그 결과는 알트메트릭스의 추후 연구에 매우 유용할 수 있다.

문제중심학습방법이 대학생들의 학습자 상호작용 및 자기주도학습능력에 미치는 영향: 사회연결망 분석을 중심으로 (The Effect of Problem Based Learning on Nursing Students' Interaction and Self-directed Learning: A Social Network Analysis)

  • 박미화;김정은
    • Perspectives in Nursing Science
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    • 제13권1호
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    • pp.29-35
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    • 2016
  • Purpose: This study aimed to explore the underlying structures of students' interaction networks to monitor network changes during the year, to verify the relationship with self-directed learning, and to identify the effect of problem-based learning on interaction and self-directed learning. Methods: A longitudinal study was designed which included 3 parts (A=25, B=27, C=26) with a total of 78 second-year nursing students from 2013 to 2014. Interaction indicators used group network centralization and density, and individual in-degree centrality. Results: Group network centralization showed mean reversion patterns, however, centralization and density showed a slight increase from 2013 to 2014 (Centralization of A part from 52.78 to 36.96, B part from 20.56 to 32.20, C part from 34.40 to 37.24; Density of A part from 0.122 to 0.123, B part from 0.111 to 0.121, C part from 0.109 to 0.121). The individual in-degree centrality is significantly correlated with self-directed learning and the correlation coefficient increased during the year (r=.274 in 2013, r=.356 in 2014, p<.001). Conclusion: Students share information more interactively during the year and the more they share the higher the scores of self-directed learning.

Priorities And Problems In The Development Of Modern Information Technologies In Education

  • Prykhodkina, Nataliia;Tymoshko, Hanna;Zuieva, Alona;Sholokh, Olena;Noskova, Margaryta;Lebid, Yuliia
    • International Journal of Computer Science & Network Security
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    • 제21권6호
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    • pp.231-236
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    • 2021
  • The article assesses the functioning of the DE system or a separate educational institution, where it can be carried out on the basis of developed criteria or on a regulatory basis. The assessment was carried out on the basis of a qualitative and quantitative nature by comparing the actual state of affairs with a certain "ideal" (educational standard), which must be defined and used as a kind of benchmark against which the assessment is made. Conducted an assessment based on a regulatory framework that represents an alternative approach. It has been emphasized that the exceptional difficulty in determining the ideal indicators (norms) of the activities of universities, it has been found that the normative approach, in which the activities of traditional and open universities are compared, taking into account the differences in social, cultural and economic conditions, is the most acceptable.