• 한국의상디자인학회지
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• 제22권3호
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• pp.49-61
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• 2020

This study analyzed the social media accounts and performed a Big Data analysis of Z-generation fashion using Textom Text Mining Techniques program and Ucinet Big Data analysis program. The research results are as follows: First, as a result of keyword analysis on 67.646 Z-generation fashion social media posts over the last 5 years, 220,211 keywords were extracted. Among them, 67 major keywords were selected based on the frequency of co-occurrence being greater than more than 250 times. As the top keywords appearing over 1000 times, were the most influential as the number of nodes connected to 'Z generation' (29595 times) are overwhelmingly, and was followed by 'millennials'(18536 times), 'fashion'(17836 times), and 'generation'(13055 times), 'brand'(8325 times) and 'trend'(7310 times) Second, as a result of the analysis of Network Degree Centrality between the key keywords for the Z-generation, the number of nodes connected to the "Z-generation" (29595 times) is overwhelmingly large. Next, many 'millennial'(18536 times), 'fashion'(17836 times), 'generation'(13055 times), 'brand'(8325 times), 'trend'(7310 times), etc. appear. These texts are considered to be important factors in exploring the reaction of social media to the Z-generation. Third, through the analysis of CONCOR, text with the structural equivalence between major keywords for Gen Z fashion was rearranged and clustered. In addition, four clusters were derived by grouping through network semantic network visualization. Group 1 is 54 texts, 'Diverse Characteristics of Z-Generation Fashion Consumers', Group 2 is 7 Texts, 'Z-Generation's teenagers Fashion Powers', Group 3 is 8 Texts, 'Z-Generation's Celebrity Fashions' Interest and Fashion', Group 4 named 'Gucci', the most popular luxury fashion of the Z-generation as one text.

• 한국생활과학회지
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• 제18권4호
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• pp.971-984
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• 2009

The purpose of this study was to analyse the relations among the residents' characteristics, the policy of the facility, and the physical characteristics of activity areas, and to understand the elements for the lively use of activity areas in the elderly nursing facilities. The results of the study are as follows: First, there was a relationship between the characteristics of semi-public activity areas and the residents' management-control policy. The facilities having semi-public areas of living room type showed more flexibility in time and place and more respects for the residents. Second, the activity areas of connection type were much more used than the compartment type, especially in the facilities having more residents incapable of walking. On the other hand, the facilities having high control for the residents showed high using rate in public activity areas, and all those did not have semi-public areas or showed low using rate in there. Third, in the analysis of the relationship between the physical characteristics and the using rate of activity areas, the public activity areas having compartment type in the spatial composition and hall as a form were likely to have multiple usages. On the whole, the various form of activity areas, the area per residents, openness, accessibility and centrality were having interactions each other for high using rate in activity areas. Especially, many stimulations and the furniture arrangements that were good for the residents' interactions had a function of compensation for the poor physical characteristics of activity areas. This study investigated only the using rates to understand the lively use of the space. For the future study, it is suggested that the detail using behavior of the residents should be examined to understand the influential elements.

• 한국문헌정보학회지
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• 제54권2호
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• pp.299-322
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• 2020

본 연구의 목적은 초등학생의 또래관계 네트워크 특성을 탐색하고, 그 특성이 독서능력에 미치는 영향을 파악하여 독서교육방안을 제안하는 것에 있다. 연구를 위해 소셜네트워크분석(social network analysis)을 활용하였고, 또래관계와 독서능력과의 관계를 알아보기 위해 중심성 분석과 QAP 상관관계 및 QAP 회귀분석을 실시하였다. 연구결과 초등학생의 또래관계에서 친구관계보다는 도움관계가 독서능력과 관련이 있음을 제시하였다. 그러나, 친구관계가 도움관계 네트워크에 영향을 미치고 있어 독서능력의 향상을 위해서는 친구 및 도움관계 네트워크의 관계를 모두 고려해야 함을 파악할 수 있었다. 이러한 네트워크 분석결과는 상황과 학습 목적을 고려한 독서 전, 중, 후와 같은 시기별 활동이나 개인, 모둠, 전체 활동 같은 구성원 조성에 유용할 수 있는 독서교육방안을 제시하였다는 것에 의의가 있다.

• 한국비블리아학회지
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• 제29권3호
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• pp.41-63
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• 2018

이 연구에서는 개혁신학과 복음주의, 중립적인 신학적 입장을 가지는 학술지와 색인어, 저자를 대상으로 계량서지학적 분석 방법을 적용하였다. 구체적인 분석방법은 평균 연결 군집화, 이웃중심성 척도, 프로파일 코사인 유사도를 활용하여 세 가지 결과를 제시하였다. 특히 저자 간 관계를 분석할 때에는 저자 사이에 핵심 공유 색인어를 파악해서 연구 주제를 해석하는 새로운 시도를 해보았다. 학술지 분석에서는 9개 학술지가 크게 개혁신학과 복음주의의 두 개 군집으로 나뉘어졌지만, 개혁신학을 지향하는 장로교단 학술지인 장신논단만 복음주의 군집에 속하였다. 두 군집의 색인어 분석에서도 개혁신학과 복음주의가 두 군집을 대표하는 주요어로 나타났다. 저자 분석에서는 9개의 군집이 산출되었다. 이중에서 4개의 군집에는 주로 개혁신학을 연구하는 장로교단 신학자들이 포함되었으며, 5개 군집에는 장로교단에 소속되지 않은 신학자들이 주로 포함되었다. 따라서 학술지와 색인어, 저자에 대한 계량서지학적 분석 모두에서 일관되게 개혁신학 군집과 복음주의 군집을 도출하였다.

• 패션비즈니스
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• 제25권3호
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• pp.90-107
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• 2021

This study concludes that communication based on interaction between broadcasting hosts and consumers is differently characterized by fashion live commerce types. Subcategories of the types of fashion live commerce were created and used in the analyses of domestic consumer awareness. Three subcategories were created: The department store type, Designer brand type, and Influencer host type. Comments representing consumers' awareness that appear immediately during real-time broadcasting were collected and used for the analyses. The frequency and TF-IDF-based top keywords were selected to analyze the semantic network and CONCOR, and the top keywords were analyzed by deriving the values of degree of centrality. The analysis identified that a group of product attributes and a group of live commerce offered value were common between the three types. As for the group characteristics classified by type, for the department store types, brand attributes, benefits, and values from pursuing the products were identified. For designer brand types, a group of viewers' responses and inquiries were identified. It is interpreted that the satisfaction value gained from hosts with product expertise has been clustered. Influencer host types have affirmed a group of external product values. A close relationship is formed and it is thought to have led a group of values to trust the external image of the product. This study carries significance in analyzing real-time comment data from consumers using fashion live commerce to empirically reveal the characteristics of each type.

• 보건행정학회지
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• 제31권2호
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• pp.148-157
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• 2021

Background: Based on that the key function of health technology is improving the quality of healthcare services, our study purports to explore the process of medical device development in detail and to discuss its policy implications. Methods: A total of 12 in-depth interviews were conducted with four groups of industry, hospital, academia, and civil society. All of the interviewees except those from civil society were involved in the new medical device development between 2009 and 2018. We performed a text network analysis and content analysis of the interview data. Results: The frequency and the degree centrality rankings suggested a close association between the utilization issue and the technology development. Similarly, the results of the content analysis showed that the appropriate intervention in the utilization of technology has a direct impact on the progress of development. Under the continuous industrial effort to boost profits by developing new technology, service providers and citizens should be knowledgeable of and make good use of the new technology for the provision of better services. Conclusion: As the development itself would not guarantee the improvement of service quality and better health outcomes, health technology policies should take a more comprehensive view to serve the unmet needs and even to facilitate the technology development.

• 정보관리학회지
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• 제40권1호
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• pp.175-198
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• 2023

본 연구에서는 성격유형과 흥미유형에 따른 독서 감상문에 나타난 독서에 대한 반응의 차이를 탐구하였다. 이를 위해 대전의 D과학고등학교 3학년 학생 81명을 대상으로 성격유형분석 데이터, 흥미유형분석 데이터, 교과독서 활동으로 작성된 독서 감상문 데이터를 수집하였다. 수집된 독서 감상문의 토픽 분석을 수행하고, 성격유형(사고형, 감정형)과 흥미유형(탐구형, 탐구형 외)에 따른 독서 감상문의 토픽 발현 확률을 통계적으로 검증하였다. 이어서 키워드 네트워크 분석을 통해 단어들의 개념 연결 구조를 측정하고, 중심성 지표를 통해 토픽모델링의 분석 결과를 보완하였다. 연구 결과, 토픽 회귀분석을 통해 토픽2(이해와 공부)와 토픽3(읽기와 사고)에서 사고형(T)과 감정형(F) 간에 통계적으로 유의한 차이를 확인할 수 있었으며, 토픽2(이해와 공부)에서 탐구형과 탐구형 외 간에 통계적으로 유의한 차이가 확인되었다. 본 연구의 결과는 맞춤형 도서 추천이나 개인화를 고려한 독서교육의 기초자료로 활용될 수 있을 것이다.

• Journal of Preventive Medicine and Public Health
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• 제56권1호
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• pp.31-40
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• 2023

Objectives: This study investigated the effect of cognitive impairment on the association between social network properties and mortality among older Korean adults. Methods: This study used data from the Korean Social Life, Health, and Aging Project. It obtained 814 older adults' complete network maps across an entire village in 2011-2012. Participants' deaths until December 31, 2020 were confirmed by cause-of-death statistics. A Cox proportional hazards model was used to assess the risks of poor social network properties (low degree centrality, perceived loneliness, social non-participation, group-level segregation, and lack of support) on mortality according to cognitive impairment. Results: In total, 675 participants (5510.4 person-years) were analyzed, excluding those with missing data and those whose deaths could not be verified. Along with cognitive impairment, all social network properties except loneliness were independently associated with mortality. When stratified by cognitive function, some variables indicating poor social relations had higher risks among older adults with cognitive impairment, with adjusted hazard ratios (HRs) of 2.12 (95% confidence interval [CI], 1.34 to 3.35) for social nonparticipation, 1.58 (95% CI, 0.94 to 2.65) for group-level segregation, and 3.44 (95% CI, 1.55 to 7.60) for lack of support. On the contrary, these effects were not observed among those with normal cognition, with adjusted HRs of 0.73 (95% CI, 0.31 to 1.71), 0.96 (95% CI, 0.42 to 2.21), and 0.95 (95% CI, 0.23 to 3.96), respectively. Conclusions: The effect of social network properties was more critical among the elderly with cognitive impairment. Older adults with poor cognitive function are particularly encouraged to participate in social activities to reduce the risk of mortality.

• 한국경제지리학회지
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• 제26권3호
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• pp.256-273
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• 2023

본 연구는 2009년부터 2021년까지 IMF의 CDIS(Coordinated Direct Investment Survey) 자료를 이용하고 사회 네트워크 분석 방법을 활용하여 글로벌 해외직접투자 네트워크의 변화를 분석하였다. 주요 분석 결과는 다음과 같다. 첫째, 코로나19 팬데믹 이후 국가 간 FDI 관계의 긴밀성이 약화되고, 상호 관계 활동성이 축소되었다. 둘째, 글로벌 해외직접투자 네트워크에서 가장 영향력이 있는 국가는 미국, 네덜란드, 영국 등인 것으로 나타났다. 셋째, 불안정한 글로벌 경제 환경 속에서 중국의 연결 중심성이 크게 변화하였다. 넷째, 해외직접투자 네트워크의 클러스터와 지역 간에는 유의미하게 연관성이 있는 것으로 나타났으며, 긴밀하게 연결되어 있는 개별 국가들의 투자 파트너들은 시간의 흐름에 따라 차별적인 특징을 보인다.

• 복식문화연구
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• 제32권2호
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• pp.199-214
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• 2024

Until now, research on consumers' purchasing behavior has primarily focused on psychological aspects or depended on consumer surveys. However, there may be a gap between consumers' self-reported perceptions and their observable actions. In response, this study aimed to investigate consumer purchasing behavior utilizing a big data approach. To this end, this study investigated the purchasing patterns of fashion items, both online and in retail stores, from a data-driven perspective. We also investigated whether individual consumers switched between online websites and retail establishments for making purchases. Data on 516,474 purchases were obtained from fashion companies. We used association rule analysis and K-means clustering to identify purchase patterns that were influenced by customer loyalty. Furthermore, sequential pattern analysis was applied to investigate the usage patterns of online and offline channels by consumers. The results showed that high-loyalty consumers mainly purchased infrequently bought items in the brand line, as well as high-priced items, and that these purchase patterns were similar both online and in stores. In contrast, the low-loyalty group showed different purchasing behaviors for online versus in-store purchases. In physical environments, the low-loyalty consumers tended to purchase less popular or more expensive items from the brand line, whereas in online environments, their purchases centered around items with relatively high sales volumes. Finally, we found that both high and low loyalty groups exclusively used a single preferred channel, either online or in-store. The findings help companies better understand consumer purchase patterns and build future marketing strategies around items with high brand centrality.