• Journal of Hospice and Palliative Care
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• v.16 no.4
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• pp.253-263
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• 2013

Purpose: This study was conducted to analyze the association between spirituality and stress of mental health social workers, which could be used in development of a program to help them manage stress and offer spiritual support. Methods: Participants were 154 mental health social workers in Korea. Data were collected from November 1 through November 30, 2011. The study employed the Korean version of the Spirituality Scale and Psychosocial Well-being Index-Short Form (PWI-SF). Data were analyzed using SPSS/Windows 17.0. Results: The mean score for the Spirituality Scale was 3.63 and for PWI-SF 18.78. Spirituality scores showed a significant difference among participants by age, education, religion and marital status. Psychosocial stress scores also significantly differed by marital status. Spirituality scores were negatively correlated with psychosocial stress scores (r=-0.548, P<0.001). Conclusion: In this study, a significant negative association was found between spirituality and stress in mental health social workers in Korea. A follow-up study with a larger sample of participants is needed to confirm these findings.

• Korean Journal of Culture and Social Issue
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• v.28 no.4
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• pp.691-715
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• 2022

In this study, we investigated the relationship between Finsta use and perceived online social support, self-monitoring, and subjective well-being. Furthermore, we investigated whether the number of Instagram accounts mediates the relationship between self-monitoring and perceived online social support. For this reason, To this end, we conducted an online survey of 396 adults in their 20s. Results indicated that the number of Instagram accounts showed a positive correlation with perceived online social support and self-monitoring, but did not show a significant correlation with subjective well-being. Next, it was found that the higher the level of self-monitoring, the higher the probability of using of Finsta. In addition, the number of Instagram accounts was found to partially mediate the relationship between self-monitoring and perceived online social support. In other words, the higher the self-monitoring was associated with, , the more Instagram accounts were, and many Instagram accounts increased the level of perceived online social support. For the first time in Korea, this study confirmed the relationship between Finsta use and perceived online social support, self-monitoring, and subjective well-being., Also, this study was meaningful because itand explored whether self-monitoring leads to perceived online social support through the number of Instagram accounts. In addition, this studyit has social meaning in that it sheds light on how online interactions are connected to the real world.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.360-370
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• 2020

In order to understand the factors related to the unmet dental needs, analysis was performed using the data of community health survey data. Targeting population of 214,861 aged 25 and over demographic factors, socioeconomic factors, social support, social environmental factors, social and physical environmental factors, and factors related to necessary unmet dental needs visit it was confirmed. The lower the age, the higher the income level, the lower the education level, the less contact with relatives and friends, the less likely they are to participate in relatives and leisure activities, dissatisfied with sociophysical environment(safety level, natural environment, living environment, public transportation, medical services) the higher unmet dental needs. It was confirmed that not only demographic and socioeconomic factors but also social support, social environmental factors, social and physical environmental factors had a statistically significant impact on the need of unmet dental needs. Future research that includes policy factors as social determinants of health will be needed as a way to increase the unmet dental needs.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.107-120
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• 2014

This study proposes a novel recommender system using the structural hole analysis to reflect qualitative and emotional information in recommendation process. Although collaborative filtering (CF) is known as the most popular recommendation algorithm, it has some limitations including scalability and sparsity problems. The scalability problem arises when the volume of users and items become quite large. It means that CF cannot scale up due to large computation time for finding neighbors from the user-item matrix as the number of users and items increases in real-world e-commerce sites. Sparsity is a common problem of most recommender systems due to the fact that users generally evaluate only a small portion of the whole items. In addition, the cold-start problem is the special case of the sparsity problem when users or items newly added to the system with no ratings at all. When the user's preference evaluation data is sparse, two users or items are unlikely to have common ratings, and finally, CF will predict ratings using a very limited number of similar users. Moreover, it may produces biased recommendations because similarity weights may be estimated using only a small portion of rating data. In this study, we suggest a novel limitation of the conventional CF. The limitation is that CF does not consider qualitative and emotional information about users in the recommendation process because it only utilizes user's preference scores of the user-item matrix. To address this novel limitation, this study proposes cluster-indexing CF model with the structural hole analysis for recommendations. In general, the structural hole means a location which connects two separate actors without any redundant connections in the network. The actor who occupies the structural hole can easily access to non-redundant, various and fresh information. Therefore, the actor who occupies the structural hole may be a important person in the focal network and he or she may be the representative person in the focal subgroup in the network. Thus, his or her characteristics may represent the general characteristics of the users in the focal subgroup. In this sense, we can distinguish friends and strangers of the focal user utilizing the structural hole analysis. This study uses the structural hole analysis to select structural holes in subgroups as an initial seeds for a cluster analysis. First, we gather data about users' preference ratings for items and their social network information. For gathering research data, we develop a data collection system. Then, we perform structural hole analysis and find structural holes of social network. Next, we use these structural holes as cluster centroids for the clustering algorithm. Finally, this study makes recommendations using CF within user's cluster, and compare the recommendation performances of comparative models. For implementing experiments of the proposed model, we composite the experimental results from two experiments. The first experiment is the structural hole analysis. For the first one, this study employs a software package for the analysis of social network data - UCINET version 6. The second one is for performing modified clustering, and CF using the result of the cluster analysis. We develop an experimental system using VBA (Visual Basic for Application) of Microsoft Excel 2007 for the second one. This study designs to analyzing clustering based on a novel similarity measure - Pearson correlation between user preference rating vectors for the modified clustering experiment. In addition, this study uses 'all-but-one' approach for the CF experiment. In order to validate the effectiveness of our proposed model, we apply three comparative types of CF models to the same dataset. The experimental results show that the proposed model outperforms the other comparative models. In especial, the proposed model significantly performs better than two comparative modes with the cluster analysis from the statistical significance test. However, the difference between the proposed model and the naive model does not have statistical significance.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.9
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• pp.59-70
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• 2016

The rapid development of the Chinese version of Twitter, the groom Weibo has become an important communication means for Chinese SNS users to obtain and share information. As a result, in China, the phenomenon of the power shift has emerged from the traditional opinion leaders to SNS opinion leasers. The relationship analysis of demographic variables of the Chinese SNS users and their Information on the relationship between keywords was made by utilizing the centrality analysis using Social Network Program NetMiner. China's SNS opinion leaders have general interest in daily activities with their families or friends rather than in social issues. And in case of SNS opinion leaders of high betweenness centrality, it was analyzed that general users was a key mediator role that organically out lead to the adjacent information. These properties are not independent of demographic variables, such as professional, therefore, the demographic characteristics of SNS opinion leaders showed a significant effect on the parameters of betweenness centrality. This study analyzed the characteristics of SNS users, especially opinion leaders in China by looking at the aspects of Chinese social phenomenon in terms of information. Through this study, we expect to provide basic information about the social characteristics of China through collective communication.

• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.27-41
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• 2020

The purpose of the project is to identify the relationship between the sub-factors of SNS information characteristics (information quality, information reliability) and the impact of immersion on social capital (connected capital) on word of mouth intention, and to present measures to revitalize the tourism industry using the results obtained. The study conducted empirical analysis on 326 adults aged 19 and older. The results of the study are as follows: First, it has been confirmed that the sub-factors of SNS utilization (information quality, information reliability) have a positive effect on immersion. Second, immersion has been verified to have a significant influence relationship on the degree of word of mouth intention. Third, it was analyzed that social capital has positive interrelationships with immersion and word of mouth intention. Based on these findings, social network services (SNS) in the tourism industry can be used as basic data to attract potential tourism customers in the future by providing efficient information on tourism products by utilizing social network services (SNS) in the development of tourism contents and marketing strategies, and it is meaningful in that it is intended to help the tourism industry in practice.

• Korean Journal of Environment and Ecology
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• v.28 no.4
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• pp.472-483
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• 2014

Major cities have strengthened their efforts to improve the environmental function of the urban forest through aspects of quantity and quality. Yet, it is difficult to propose both long-term improvement and management policy direction continuously due to a lack of evaluating method that social needs could be reflected. After all, effective strengthening of the function of an urban forest, composed of social and biotic environments, is essential to create evaluation criteria. Such data reflects a quantity variation and identifies the distribution and habitation of biotic sources as well. An assessment of utilization possibilities presents such values as a green connectivity, an ecological healthiness, and usage and access opportunities. Consequently, this research was executed to create an urban forest sustainability index that proposes a management and policy direction based on the evaluation of quantity and quality aspects. This study was processed by the following steps: a degree of importance of ecological aspect, a sub-classification index choice, and an examination of adequacy. This research was conducted from premises that urban forest had another functions comparisons to a natural forest. As a result, a criteria of sustainability should be considered to evaluate an ecological aspect, as well as the social and management aspects regarding human disturbance. This research is designed to develop an evaluation index for ecological aspect. In order to evaluate the ecological healthiness of an urban forest, a vegetation index considers aspects of related rarity, damage possibility, naturalness, area, and diversity. In a wildbird index-related study, forest duration and area were selected. Finally, a variance analysis is presented, inclusive of stability, naturalness, diversity, potentiality, and possibility of wildlife inhabitation, which is indicative of an urban forest sustainability index.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.329-330
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• 2022

태평양 도서국은 간선항로와 먼 거리, 적은 물동량, 수출입 불균형 등으로 해상운임이 높게 형성되어 있으며, 기후변화에 취약하여 항만운영에 제약이 많은 등 해상운송이 상당히 열악한 실정이다. 또한 해상운송 의존도가 상당히 높은 반면, 정기선 연계정도는 상당히 낮아 해운물류 경쟁력을 향상 필요성이 증대되고 있다. 따라서 본 연구에서는 사회연결망분석(SNA)를 통해 14개 태평양 도서국의 국가 간 해상교역 구조를 파악하고 이를 통해 해상운송망 강화를 위한 방안을 제시하였다. 분석 결과, 대상국가 간 교역구조는 점차 복잡해지고 있으며, 점차 피지, 사모아, 파푸아뉴기니 등을 중심으로 Hub-spoke 체제의 해상운송 네트워크가 형성되고 있다. 역내 해상운송망 강화를 위해서는 분석결과에서 도출된 역내 주요 항만을 환적항으로 개발하여 해상운송 연계성을 강화하고, 카보타지 허용을 통한 정기선 입항빈도 증대, 인프라 개선을 통한 항만 운영탄력성 강화 등이 필요하다.

• Journal of Korea Technology Innovation Society
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• v.17 no.2
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• pp.334-354
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• 2014

This study aims to analyze the research trend of Korean medicine based on social network analysis. To do this, a dataset has been collected from KCI (Korea Citation Index) database. According to the results, we have identify the longitudinal trend of the number of papers, journals, organizations and key words in this field. Moreover, based on the nodes' centrality of co-author network, we have found a core journal (i.e. Korean Journal of Oriental Physiology and Pathology), a hub institution (i.e. Kyunghee university) and two main key words (i.e. anti-oxidation and acupuncture) in the research network. In conclusion, integrating field experts' tacit knowledge in Korean medicine studies with the results of the explicit social network analysis on the research trend, we put forward further policy implications with regard to R&D strategies in this field.

• 한국노년학
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• v.41 no.3
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• pp.353-371
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• 2021

The purpose of this study is to provide clues to social welfare policy making by revealing discourse on social intervention and response based on big data on elderly living alone in the COVID-19 situation. Keyword analysis, network analysis, and topic analysis were utilized to explore the ways in which news media have portrayed challenges facing older individuals and the ways in which the central and local government as well as private organization have responded to them. Results are as follows. First, networks(degree, closeness, betweenness) were formed around region, delivery, society, support, and vulnerability, suggesting an increased demand for economic assistance and social support as well as stronger service delivery systems. Second, key topics derived included "establishing public delivery systems", "establishing local networks", "Managing care gap", "Establishing a private economic support system", and "Establishing service organization system". Based on the research results, discourse on the organic role of government, communities and the private sector has been presented, suggesting policy and practical implications by proposing a discussion on how to intervene for elderly living alone in disaster situations such as COVID-19.