• Journal of The Korean Society of Integrative Medicine
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• v.7 no.3
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• pp.41-50
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• 2019

Purpose : The goal of this descriptive research study was to identify the relationship between t relative deprivation, absolute deprivation, self-esteem, self-efficacy, and social support of university students and their show-off behavior on social network services (SNSs), as well as to identify the influencing factors. Methods : The research tools consisted of 8 items for general characteristics, a measure of deprivation (9 items for relative deprivation and 8 items for absolute deprivation), 15 items for show-off behavior on SNSs, 10 items for self-esteem, 25 items for social support, and 20 items for self-efficacy. Data analysis was performed using the SPSS 22.0 program for the descriptive statistics, t-test, ANOVA, Pearson's correlation, and stepwise multiple regression. Results : The results showed relative deprivation (B=.102, t=4.060, p<.001) was the most important factor in show-off behavior on SNSs for university students. Furthermore, social support (B=-.178, t=-3.099, p=.002), absolute deprivation (B=-.175, t=-4.284, p<.001), and self-esteem (B=-.212, t=-2.490, p=.014) accounted for 21.5% of the explanatory power (F=14.215, p<.001). Conclusion : The study findings revealed that relative deprivation is the most important factor in the show-off behavior of university students on SNSs. Social support, absolute deprivation, and self-esteem were also identified as factors that affect their show-off behavior on such services. This study aims to contribute to the effective program progress by providing basic data for the development of the show-off behavior on SNSs intervention and prevention programs to reduce the side effects of various the show-off behaviors on SNSs of university students.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.1
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• pp.121-126
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• 2013

In the past several years there has been increasing the studies using P2P technology in the distributed system areas. In these P2P systems, the server to support the contents-information have less overloads than the composed system as the server to have resources generally. In this paper, we propose the system to support a social network P2P service based on the social network P2P system. The object of this study was to widen the use of this menu system to determine the price based on visual information by a software agent. Therefore, this system is suitable for micro, small and medium industries in the use of P2P servers and is more usable system interface for owners than previous study.

• Journal of the Korean Society for Library and Information Science
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• v.42 no.4
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• pp.243-268
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• 2008

This study considers the availability, accessibility, and efficacy of social services for migrant workers. First, it examines migrant workers needs and how they choose to fulfill these. Second, this study grasps about how they can connect the social services and what constructive peculiarities social networks they have by using SNA(Social Network Analysis) it is revealed that migrant workers rely more on informal support groups such as family, friends, co-workers, etc. rather than formal support networks, e.g. those provided by the state. This tendency is demonstrated especially, Libraries as formal supporting organization have no connection related with other organizations. It shows that they have role limited as a supporter of giving information and knowledge in a public.

• The Korean Journal of Community Living Science
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• v.17 no.2
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• pp.113-124
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• 2006

This study examines the factors influencing social capital within a lifelong learning city as discussed in the Youngcheon and Andong City case study. Data was collected from 205 leaners in Andong City and 194 learners in Youngchun City. The data was then analyzed by the SPSS WIN 12.0 program. The statistical techniques used for this study were frequency, percentile, 1-test, and regression. The major findings of this study were as follows: To begin with, the learners in LLC were more likely to have positive attitudes toward the construction of a lifelong learning city. Second, the leaners in LLC were more likely to have social capital including norm and network. Furthermore, the learning opportunity had a positive effect in increasing the trust between learners. Learning support and support systems also had influence in increasing the social network between learners. Finally, support systems had a positive effect in improving the norm between learners.

• Journal of Families and Better Life
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• v.17 no.1
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• pp.103-120
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• 1999

The purpose of this study was to investigate the characteristics and caregiving behavior in families who awarded on filial piety. Using the qualitative method 137 families and social supports to them were analyzed,. The major findings can be summarized as follows (1) Most of caregivers were daughter-in -law over 40 years in 3-generation or 2-generation family. Elderly can be characterized as oldest-old dependent long-term care for more than 10 years. (2) These families showed very high family solidarity with strong collectivity. (3) Their economic emotional and service cares were family-centered with helps from their extended family. These families were supported emotional helps rather than instrumental helps from social network. It was concluded that to help family elder care social support program for the frail elder caregiving families should be complemented in their children support program family life enrichment program for the inter-generational relationship medical care program other social network program and religion program etc. And more concrete and qualified study for the adaptation of filial piety families should be followed.

• The Journal of Industrial Distribution & Business
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• v.8 no.4
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• pp.23-35
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• 2017

Purpose - This paper aims to obtain a theoretical understanding for the relationship among the elderly's leisure activity, social support, life satisfaction and mental loneliness in their life. This paper has the purpose to draw policy implications by the course of research and study as well as to find alternatives in enhancing the elderly's psychological well-being in a practical dimension. Research design, data, and methodology - Data has been collected from 380 elderly persons participating in leisure activities in 10 senior welfare service centers located in the Seoul area. A structured questionnaire sheet was used, and as the main analysis method for hypothesis verification, the hierarchical regression method was used. Results - Social support is moderating factor for the relationships among the productive leisure activity, life satisfaction and mental loneliness, but does not play the moderating role in the relationships such as consumptive leisure activity, life satisfaction and mental loneliness. Conclusions - It is necessary to make efforts to provide policies for promoting and expanding the elderly's participation especially in productive leisure activity. And also, an institutional support should be provided for maintaining and expanding a stable social relationship network for the elderly's participation.

• Journal of Information Technology Services
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• v.16 no.3
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• pp.167-183
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• 2017

The rapid growth of information technology and mobile service platforms, i.e., internet, google, and facebook, etc. has led the abundance of data. Due to this environment, the world is now facing a revolution in the process that data is searched, collected, stored, and shared. Abundance of data gives us several opportunities to knowledge discovery and data mining techniques. In recent years, data mining methods as a solution to discovery and extraction of available knowledge in database has been more popular in e-commerce service fields such as, in particular, movie recommendation. However, most of the classification approaches for predicting the movie popularity have used only several types of information of the movie such as actor, director, rating score, language and countries etc. In this study, we propose a classification-based support vector machine (SVM) model for predicting the movie popularity based on movie's genre data and social network data. Social network analysis (SNA) is used for improving the classification accuracy. This study builds the movies' network (one mode network) based on initial data which is a two mode network as user-to-movie network. For the proposed method we computed degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality as centrality measures in movie's network. Those four centrality values and movies' genre data were used to classify the movie popularity in this study. The logistic regression, neural network, $na{\ddot{i}}ve$ Bayes classifier, and decision tree as benchmarking models for movie popularity classification were also used for comparison with the performance of our proposed model. To assess the classifier's performance accuracy this study used MovieLens data as an open database. Our empirical results indicate that our proposed model with movie's genre and centrality data has by approximately 0% higher accuracy than other classification models with only movie's genre data. The implications of our results show that our proposed model can be used for improving movie popularity classification accuracy.

• Journal of Korean society of Dental Hygiene
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• v.19 no.1
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• pp.105-116
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• 2019

Objectives: This study aimed to confirm the relationship between toothbrushing practice after lunch and typical oral health behaviors in children and adolescents according to the subject and type of social support. Methods: The study used data from the 2010 Korean Survey on the Health of Youth and Children and selected 8,704 elementary, middle, and high school students as final targets. Multiple logistic regression was conducted to confirm the link between social support and toothbrushing after lunch. Results: The results showed that in elementary and vocational high school students, statistical significance of all social support variables disappeared after controlling for both demographic and social factors and oral symptom experience. However, in the middle school students, the emotional support of the neighbors and the emotional support of the teachers showed statistically significant effect on brushing daily after lunch (p<0.05). In general high school students, there was a significant association between family emotional support and toothbrushing after lunch (p<0.01). Conclusions: The oral health promotion program for children and adolescents needs to be integrated and coordinated with the overall health promotion program. In particular, it is believed that the school-based program can strengthen the practice of health behaviors by inducing behavioral changes based on the formation of healthy relationships and trust of colleagues and teachers. Therefore, it is necessary to develop social network-based programs including social support such as emotional health and healthy relationships that can be applied among children for oral health promotion.

• The Journal of Korean Academic Society of Nursing Education
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• v.9 no.2
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• pp.253-263
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• 2003

Rheumatoid arthritis patients not only suffer from the physical damage, but they are afflicted severely mental and psychologic after effects. Their depression and low self-esteem eventually yields serious mental damages, which makes difficult for them to recover. The states of mental health of arthritis patients are diversified depending on the characters and surrounding circumstances, although they may have suffered from the similar condition. Therefore this research was conbucted to the factors that can give positive influences to the patients. In recent time, social support for the arthritis patients has become an important factor that can positively influence their mental health. In other words, social support can act as an important environmental system for arthritis patients to recover their damaged mental health. In order to fulfill this purpose, 118 patients were examined to identify the relationship between the variables. The summary of the result obtained from the research is as follow: 1. The structural aspect of social support for arthritis patients showed the most of them had various social support network size and their highest support system were 'family', 'relative' and 'friends'. The functional aspect of social support for arthritis patients showed moderate degree and their highest sub component was 'approval'. 2. High correlation was found between duration of relationship, similarity, frequency of meeting and functional support. There was no relationship between depression, self-esteem and social support. 3. Therefore this research has suggested that nurses who care rheumatoid arthritis patient consider the above condition to develop self-help group.

• International Journal of Computer Science & Network Security
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• v.24 no.6
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• pp.83-88
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• 2024

In this paper we used classification algorithms on social networking. We are proposing, a new classification algorithm called the improved Decision Tree (IDT). Our model provides better classification accuracy than the existing systems for classifying the social network data. Here we examined the performance of some familiar classification algorithms regarding their accuracy with our proposed algorithm. We used Support Vector Machines, Naïve Bayes, k-Nearest Neighbors, decision tree in our research and performed analyses on social media dataset. Matlab is used for performing experiments. The result shows that the proposed algorithm achieves the best results with an accuracy of 84.66%.