• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.391-406
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• 2015

Social media have emerged as new communication channels between consumers and companies that generate a large volume of unstructured text data. This social media content, which contains consumers' opinions and interests, is recognized as valuable material from which businesses can mine useful information; consequently, many researchers have reported on opinion-mining frameworks, methods, techniques, and tools for business intelligence over various industries. These studies sometimes focused on how to use opinion mining in business fields or emphasized methods of analyzing content to achieve results that are more accurate. They also considered how to visualize the results to ensure easier understanding. However, we found that such approaches are often technically complex and insufficiently user-friendly to help with business decisions and planning. Therefore, in this study we attempt to formulate a more comprehensive and practical methodology to conduct social media opinion mining and apply our methodology to a case study of the oldest instant noodle product in Korea. We also present graphical tools and visualized outputs that include volume and sentiment graphs, time-series graphs, a topic word cloud, a heat map, and a valence tree map with a classification. Our resources are from public-domain social media content such as blogs, forum messages, and news articles that we analyze with natural language processing, statistics, and graphics packages in the freeware R project environment. We believe our methodology and visualization outputs can provide a practical and reliable guide for immediate use, not just in the food industry but other industries as well.

• Journal of Korean Academy of Nursing
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• v.48 no.2
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• pp.241-253
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• 2018

Purpose: The purpose of this study was to test the mediating effect of social support and resilience on the relationship between symptom distress and coping in young Korean breast cancer survivors. Methods: A purposive sample of 209 young breast-cancer survivors (mean age 39.9) was recruited for a cross-sectional survey, and the data were collected between June and October 2015. The instruments used in this study were the Memorial Symptom Assessment Scale-Short Form, the Multidimensional Scale of Perceived Social Support, 10-item Connor-Davidson Resilience Scale, and Cancer Coping Questionnaire. The collected data were then analyzed using the SPSS 23.0 and AMOS 23.0 programs. Results: Symptom distress was found to have a significant indirect effect on coping (beta=-.32, p=.002), but not a significant direct effect (beta=.06, p=.577). Additionally, based on the values obtained for the squared multiple correlation, symptom distress, social support, and resilience were found to explain 46.4% of the total variance of coping. Conclusion: Based on the results of this study, it can be suggested that in order to enhance young breast cancer survivors' ability to cope with the distress they commonly feel, intervention methods that strengthen resilience and provide social support should be developed and made available to them.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.11
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• pp.3935-3949
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• 2021

With the rapid development of Internet and big data technology, various online social network platforms have been established, producing massive information every day. Hot topic discovery aims to dig out meaningful content that users commonly concern about from the massive information on the Internet. Most of the existing hot topic discovery methods focus on a single network data source, and can hardly grasp hot spots as a whole, nor meet the challenges of text sparsity and topic hotness evaluation in cross-network scenarios. This paper proposes a novel hot topic discovery method across social network based on an im-proved LDA model, which first integrates the text information from multiple social network platforms into a unified data set, then obtains the potential topic distribution in the text through the improved LDA model. Finally, it adopts a heat evaluation method based on the word frequency of topic label words to take the latent topic with the highest heat value as a hot topic. This paper obtains data from the online social networks and constructs a cross-network topic discovery data set. The experimental results demonstrate the superiority of the proposed method compared to baseline methods.

• Korean Journal of Human Ecology
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• v.12 no.5
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• pp.579-593
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• 2003

The purpose of this study was to investigate the social support, understanding of the children's problem in the female-headed single parents, and their child rearing methods. To obtain this purpose, in-depth interview was conducted to 8 female-headed single parents from March 3 to April 5, 2003. The contents of interviews were recorded and analyzed by qualitative method. The results were as follows: First, female-headed single parents were stuck for the social support and the relationships with parents-in-law were ruptured, especially. Secondly, female-headed single parents had well known about their children's daily life. Third, in the early stage of female-headed single parents, they had expressed the stresses in their hardship of life to their children, but it decreased whenever they were accustomed to their life.

• Journal of Information Technology and Architecture
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• v.10 no.3
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• pp.379-386
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• 2013

This study is about the suggestion of reduction method for social insurance cost of startup SMEs based on the study abroad. We suggest several methods (direct and indirect support, exemption, deferment or loan) based on the pros and cons, government's financial situation, the ease of implementation and effectiveness of mitigation methods, creating conditions for the implementation of social insurance mitigation.

• The Journal of Korean Society for School & Community Health Education
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• v.16 no.1
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• pp.15-25
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• 2015

Objectives: The purpose of this study was to identify the mediated effect of social support in relationship of stress and mental health of woman college students. Methods: Data were collected by distributing self recording type questionnaire to 336 woman students in three universities placed in Gyeonggi-do, who agreed attending to the research, and then were re-collected. The statistical methods used for data analysis were the descriptive statistics, frequency analysis, One-way ANOVA test, Pearson correlation coefficient, hierarchial regression analysis. Results: 1. According to the research, it appeared that social support differed depending on the grade the one is in(F=10.643, p<0.05), and mental health(F=3.446, p<0.05) and social support(F=2.444, p<0.05) differed depending on the family's economical level. 2. As the result of analysis of relationship of objects' mental health, stress, and social support, it appeared that mental health and stress(r=-0.605, p<0.01), mental health and social support(r=0.276, p<0.01) have relationship to each other. 3. As the result of hierarchial regression analysis for verifying the mediated effect of social support in relationship of research objects' stress and mental health, it showed that social support partially mediate in relationship of stress and mental health. Conclusion: The program which can intensify woman college students' social support and decrease stress needs to be developed and provided, in order to arrange solution of promoting woman students' mental health.

• Korean Journal of Health Education and Promotion
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• v.28 no.4
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• pp.39-49
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• 2011

Objectives: This study was to examine the association between structural and functional characteristics of social network and self-rated health in middle-aged Korea population. We also explored gender difference in the relationship between social network and health. Methods: Data were collected from individuals aged 40-69 years old participating in the 2005 survey for the Korean Genome & Epidemiology Study. We examined the association between social network, social support, social conflict and self-rated health using multiple logistic regression analysis stratified by gender. Results: The extent and contact frequency of close people, and social participations were associated by not only the positive function but also the negative function of social network. Both the positive and negative functions of social network affected self-rated health. The relationship between the function of social network and health showed a gender difference: only positive function was significantly associated with health in men while only negative function had significant relationship with health in women. Conclusions: Social support and social conflict affected the health in both genders through different ways. The ambivalent effect of social network on health should be explored further.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.305-311
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• 2022

This research aimed to provide a profound description of the practices of social media users in the Kingdom of Saudi Arabia (KSA), specifically the users of Facebook^® (FB) and Snapchat^® (SC), the reasons for these practices, decisions made, and the people involved. Such research would be of significant help to designers and policymakers of social media applications in understanding user practices when using social media applications and the reasons for such practices in the KSA. This better comprehension would be of significant help in improving current applications and creating new ones. According to the data analysis, there was a clear preference for SC over FB in the KSA. Most participants with SC accounts were described as very active users, accessing their accounts at least once a day compared to FB users. The users were led by this high preference for SC to create new words derived from the name of the application and use them in daily life. We showed our experience of carrying out a study in which the main objective was to collect factual empirical data from participants about their daily usage of social media applications while considering the unique cultural settings in the KSA. Mixed quantitative and qualitative methods were used to triangulate the data, increasing its trustworthiness and validity. Multiple perspectives were obtained using various data collection methods. Therefore, conclusions would not be confounded with limitations of any particular methodology or with conditions of any collection rounds. This research would constitute a valuable guide for researchers intending to use methods with male and female informants from different cultures, preparing them for potential challenges and suggesting possible solutions.

• Korean Journal of Health Education and Promotion
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• v.30 no.5
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• pp.177-188
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• 2013

Objectives: The purpose of this study was to evaluate the feeling of distance of social work practitioners for people living with HIV/AIDS(PLWHA) and to identify related factors. Methods: A total of 409 data were collected as convenience sampling from social welfare service providers. Independent variables were socio-demographic data, AIDS related knowledge, authoritarian personality, prejudice for minority(handicapped, women, foreigner, old aged), cultural competency. Data were analyzed by t-test, ANOVA, multiple regression analysis were conducted. Results: Multiple regression model was developed by integrating the significant variables from univariate analysis. Significant factors of physical distance were social prejudice against handicapped, knowledge about AIDS and critical awareness/knowledge about other culture. And significant factors of social distance were social prejudice against handicapped, knowledge about AIDS, authoritarian personality, critical awareness/knowledge about other culture. At last, we found that social prejudice against handicapped was the biggest factor for physical distance and authoritarian personality was the biggest factor for social distance of social work practitioners. Conclusions: The area of social services for PLWHA have to be expanded. Physical and social distance of professionals to provide services to PLWHA and factors affecting it is necessary to continue research. In addition, on the basis of these findings, specific training programs is need to be developed.

• Journal of Preventive Medicine and Public Health
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• v.54 no.4
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• pp.265-274
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• 2021

Objectives: Given the importance of social determinants of health in promoting the health of slum residents, this study was conducted with the aim of identifying the main dimensions and components of these determinants. Methods: This scoping review study was conducted according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). A comprehensive search was performed of PubMed, ProQuest, Scopus, and Web of Science for articles conducted from 2010 to the end of 2019. Studies were selected based on inclusion criteria, with a special focus on studies dealing with the social determinants of physical and mental health or illness. Results: Thirty-three articles were selected to extract information on the social determinants of health. After reviewing the articles, 7 main dimensions (housing, socioeconomic status of the family, nutrition, neighborhood characteristics, social support and social capital, occupational factors, and health behaviors) and 87 components were extracted as social determinants of health among slum dwellers. Conclusions: This framework could be used by planners, managers, and policy-makers when making decisions affecting the health of these settlements' residents due to the common characteristics of slums around the world, especially in developing countries.