• Journal of Korean Society of Transportation
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• v.35 no.3
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• pp.247-259
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• 2017

This study analyzed the network of low cost carriers (LCCs) to investigate the structural characteristics of airport networks. 71 LCCs in Asian major airports from January 2010 to January 2016 were queried from the SRS Analyzer Schedule Database of IATA's Airport Intelligence Service, and analyzed international routes excluding domestic flights. We analyzed the network connection mechanism focusing on Incheon International Airport, Hong Kong, Singapore, Narita, Kansai, Pudong, Kaohsiung, Gimpo and Jeju airports as well as structural changes in the LCC network using four centrality analysis concepts. The outcomes showed that the LCC network is formed in these airports and the density of connectivity to other airports increased. In recent years, LCC has launched LCCs-Alliances and would be considered to operate a hub-and-spoke network.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.10a
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• pp.151-153
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• 2014

본 논문에서는 사회네트워크 분석 기법을 이용하여 2005년부터 2013년까지 운용되었던 국내 연안여객선의 항로를 분석하였다. 분석결과 연도별로 중심이 되는 항구가 변화되는 것을 확인할 수 있었다. 목포는 지속적으로 가장 높은 연결 중심성을 보였으며, 여수는 최근 그 중심성이 높아지는 것을 확인하였다. 또한 물동량과 이용량 등 전통적인 방법을 통하여 분석한 결과와 사회 네트워크 방법으로 분석한 결과 값을 비교하였는데 이 두 값이 매우 강한 상관관계를 보였다. 이를 통해 전통적인 방법을 사용하지 않더라도 네트워크 분석을 통해 해당 항구의 중심성을 알 수 있음을 확인하였다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.1
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• pp.149-169
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• 2013

This exploratory study analyzed the structure of collaborative network among small libraries. The survey was conducted with the small libraries in Bucheon region. In order to analyze the structural features of the network, this study used social network analysis methods. The results of the study indicate that public small libraries has high density networks with other small libraries and performed a central role in the whole network. Private small libraries were, however, isolated in the whole network indicating their weak collaboration with other small libraries.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.95-118
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• 2021

As the AI speaker business has risen significantly in recent years, the potential for numerous uses of AI speakers has gotten a lot of attention. Consumers have created an environment in which they can express and share their experiences with products through various channels, resulting in a large number of reviews that leave consumers with a variety of candid opinions about their experiences, which can be said to be very useful in analyzing consumers' thoughts. Using this review data, this study aimed to examine the factors driving the continued use of AI speakers. Above all, it was determined whether the seven characteristics associated with the intention to adopt AI identified in prior studies appear in consumer reviews. Based on customer review data on Amazon.com, text mining and social network analysis were utilized to examine Amazon eco-products. CONCOR analysis was used to classify words with similar connectivity locations, and Connection centrality analysis was used to classify the factors influencing the continuous use of AI speakers, focusing on the connectivity between words derived by classifying review data into positive and negative reviews. Consumers regarded personality and closeness as the most essential characteristics impacting the continued usage of AI speakers as a result of the favorable review survey. These two parameters had a strong correlation with other variables, and connectedness, in addition to the components established from prior studies, was a significant factor. Furthermore, additional negative review research revealed that recognition failures and compatibility are important problems that deter consumers from utilizing AI speakers. This study will give specific solutions for consumers to continue to utilize Amazon eco products based on the findings of the research.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.68-74
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• 2019

The purpose of this study was to identify research trends of 892 domestic articles (2009-2018) related to emotional labor by using text-mining and network analysis. To this end, the keyword of these papers were collected and coded and eventually converted to 871 nodes and 2625 links for network text analysis. First, network text analysis revealed that the top four main keyword, according to co-occurrence frequency, were burnout, turnover intention, job stress, and job satisfaction in order and that the frequency and the top four core keyword by degree centrality were all relatively the high. Second, based on the top four core keyword of degree centrality the ego network analysis was conducted and the keyword for connection centroid of each network were presented.

• 재활복지
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• v.21 no.1
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• pp.1-26
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• 2017

The main purpose of this paper is identifying the trends of researches in the realm of social welfare for disabled people. It tries to introduce an alternative analytic approach - key word network analysis - that might surpass the shortage of analysis methods of existing studies which have mainly relied on descriptive analysis. For this purpose the authors constructed a database composed of key words and informations about research methods of the data sources of this study. The sources are such researches as doctoral theses and the papers of Korean Journal of Social Welfare and Journal of Rehabilitation Research which were published during the 20 years from 1996 to 2015. Total numbers of the thesis or papers analysed at this study are 1,034. The results are shown in three ways as follows: First, the method trends of selected researches. Second the lists of interested types and population groups of the disabled persons and interested issues. Third, the intellectual structure of the research. Based on the findings of this study, some suggestions are given considering desirable directions of future researches in relation to perspectives, methods, targets and subjects of them.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.437-442
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• 2018

The study aims to identify key players through the last five passes when entering shooting circles in Korea and top four countries participated in the Rio Olympics. First, the analysis code was created using the Sports code to analyze the 29 games including Korea and the top 4 countries among 33 games. Second, Ucinet 6 has been used to analyze the Closeness Centrality of each country. The results of the study show that Korea is a key player in No.13 FW, New Zealand in No.1 MF, Germany in No.5 DF, Netherlands in No.9 MF and U.K in No.8 MF. In particular, the two teams that advanced to the finals saw their proximity center index average over 60. Based on these results, it is expected that the analysis of women's field hockey matches will serve as a tool to identify key players.

• Transportation Technology and Policy
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• v.1 no.2
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• pp.28-38
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• 2004

• Journal of the Korean Society for information Management
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• v.27 no.2
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• pp.61-74
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• 2010

The knowledge sharing in a knowledge management process is much affecting generation and distribution of knowledge. Especially, the knowledge distribution is being revitalized with the center of social media service like twitter and library service 2.0 in the knowledge-based IT (Information Technology) environment. The present research analyzed the structure and characteristics of a social network inside an organization that is growing like an organism through self-organization through tools for SNA (Social Network Analysis) and multiple regression analysis of independent variables such as 1) a relationship between social network's structure and knowledge sharing, 2) a relationship between structural holes and knowledge sharing influence of centrality, 3) a relationship between individual ability and knowledge sharing of information technology and work recognition.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2012.10a
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• pp.247-249
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• 2012

지게차사고의 대부분은 지게차의 좁은 바퀴간격에 비하여 무게중심이 상대적으로 많이 이동함으로서 전도사고가 일어나며, 이는 작업장에서 직접적으로 중대사고로 연결된다. 이러한 중력이동은 화물의 작업높이와 밀접한 관계가 있으며, 이로서 안정성에 직결되고 있다. 안정성 범위는 무게중심이 화물의 승강높이 범위에 넘어서 너무 무겁다든지, 혹은 너무 틸팅된 각도에 안정성 범위가 결정되고 있으므로, 본 연구에서는 각 작업시의 안정성 범위에 대하여 시뮬레이션 및 분석을 행하고자 한다.