• 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.

• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.11-17
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• 2022

This study investigates income support, labor opportunities, and social capital by the demographic characteristics of the elderly who participate in the elderly job project, and especially the relationship between social and quality of life. We want to provide empirical data on how the elderly vocational business ultimately affects the lives of the elderly through the intervention of social capital. The intervention effect of social capital is as follows. Satisfaction with the elderly job project has a great impact on the quality of life, trust, network, and social participation. In particular, trust in the quality of life of the elderly had a great influence on the quality of life and was indirectly effective. In addition, the intervention of social participation between social capital was known, and the elderly job project increased social participation to improve the quality of life of the elderly. Therefore, it can be evaluated that the elderly job project has an important positive effect on the quality of life of the elderly, and the social capital formed through the elderly job project plays a role in directly or indirectly improving the quality of life of the elderly.

• Environmental Analysis Health and Toxicology
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• v.31
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• pp.18.1-18.8
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• 2016

Objectives This study aimed to evaluate the risk factors associated with depression and suicidal ideation in a rural population. Methods A survey was conducted with 543 farmers from Chungcheongnam-do Province using the Center for Epidemiologic Studies Depression Scale (CES-D) for depression, Lubben Social Network Scale (LSNS) for social support, Swedish Q16 for neurotoxicity symptoms and a survey tool for farmer's syndrome. Results After adjusting for socioeconomic factors using logistic regression analysis, poor self-rated health, low social support and neurotoxicity were positively associated with the risk of depression (odds ratio [OR], 15.96; 95% confidence interval [CI], 3.11 to 81.97; OR, 3.14; 95% CI, 1.26 to 7.82; and OR, 3.68; 95% CI, 1.08 to 12.57, respectively). The risk of suicidal ideation significantly increased with low social support, neurotoxicity and farmer's syndrome (OR, 2.28; 95% CI, 1.18 to 4.40; OR, 6.17; 95% CI, 2.85 to 13.34; and OR, 3.70; 95% CI, 1.51 to 9.07, respectively). Conclusions Given the overall results of this study, there is a need to establish programs which can improve the health and social relationships of farmers. Also, when farmers have neurological symptoms from pesticide exposure and characteristic symptoms of farmer's syndrome, a monitoring system for depression and suicide must be made available.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.5
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• pp.2484-2498
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• 2017

Various types of social media make the people share their personal experience in different ways. In some social networking sites. Some users post their reviews, some users can support these reviews with comments, and some users just rate the reviews as kind of support or not. Unfortunately, there is rare explicit negative comments towards other reviews. This means if there is a link between two users, it must be positive link. Apparently, the negative link is invisible in these social network. Or in other word, the negative links are redundant to positive links. In this work, we first discuss the feature extraction from social media data and propose new method to compute the distance between each pair of comments or reviews on social media. Then we investigate whether we can predict negative links via regression analysis when only positive links are manifested from social media data. In particular, we provide a principled way to mathematically incorporate multi-facet data in a novel framework, Constructing Negative Links, CsNL to predict negative links for discovering the hidden information. Additionally, we investigate the ways of solution to general negative link predication problems with CsNL and its extension. Experiments are performed on real-world data and results show that negative links is predictable with multi-facet of social media data by the proposed framework CsNL. Essentially, high prediction accuracy suggests that negative links are redundant to positive links. Further experiments are performed to evaluate coefficients on different kernels. The results show that user generated content dominates the prediction performance of CsNL.

• Journal of Families and Better Life
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• v.17 no.2
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• pp.75-92
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• 1999

The purpose of this study was to investigate the caregiving and adaptation in families who awarded on filial piety. Using the qualitative methods-in depth interview genogram ecomap participation observation- 8 families were analyzed The major findings can be summarized as follows (1) These families showed very high family solidarity with strong collectivity. Their family role was interchangable and their familiarity was passed down from generation to generation. (2) Family members showed similar coping patterns on the basis of their own adaptationl Their coping was inclined toward acceptance especially religioous rather than emotional-focused ad hardly avoidance coping. (4) Although their economic emotional and service cares were family-centered with helps from their extended family household equipment for elder care was not prepared. (5) These families preferred to maintain this condition rather than to be well adapted. It was concluded that to help failed elder's family care iving social support program should be complemented in family life enrichment program for their children medical care program equipment rental program for elder in social network religion program and so on, Social norms forparent-children relation has be changed to more flexible care pattern. Also more social-emotional support has to be given to these families.

• The KIPS Transactions:PartC
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• v.17C no.2
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• pp.215-222
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• 2010

IEEE 802.15 WPAN(Wireless personal area network) technologies represented by Bluetooth are prevalent these days. However, they have short radio coverage and thus cannot be used to build a SNS for servicing users spread over a wide area. In this paper, we develop a mobile SNS(Social Network System) that does not necessitate any infrastructure support using the Bluetooth technology and the mobility based information dissemination technique. Using so-called mobility assisted data dissemination technique we overcome the short radio range restriction of WPAN technologies. We develop Blue Market, a free online marketplace program, as a proof of concept.

• Korean Journal of Social Welfare
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• v.67 no.2
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• pp.237-257
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• 2015

The purpose of this study is to analyze the effects of local community resident-participation factor on the local community resident-participation determinant and the formation of social capital. Accordingly, questionnaire method was used for 389 residents in A-dong that have participated in community building projects in Busan region to analyze their demographical factor & residential area factor and local community resident-participation factors of satisfaction of neighborhood environment, satisfaction of administrative support, local attachment and neighbor connectedness effects. The analysis results showed that first, the satisfaction of outside support and neighbor connectedness were found to be the main factors. Second, the satisfaction of outside support, local attachment and neighbor connectedness showed meaningful effects in the state where these factors were controlled. Third, the effects of each social capital sub-element were verified and the results showed that while trust and network had meaningful effects on satisfaction of outside support, local attachment and neighbor connectedness effects, norm of reciprocity showed meaningful effects on gender, house ownership status, local attachment and neighbor connectedness, thereby showing differences. Based on these study findings, implications and suggestions were presented.

• Journal of Distribution Science
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• v.18 no.3
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• pp.67-76
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• 2020

Purpose: Consumers are affected by the purchase of a large number of opinions or support during the online purchasing process. This can be defined as the term of 'social decisions' on line. This paper seeks to explore the factors of influence on social decisions in on-line environment and to study in depth. Methodology: The purpose of this paper is to empirically examine the impact of factors on online social decisions. To verify the hypothesis of study, This study collected 256 from Seoul City, Gyeonggi Province and Chungcheong Province through Survey. Results: According to the research results, First, eWOM information usefulness have a positive impact on online social decisions, Second, online network connectedness have a positive impact on online social decisions. Third, innovative product have a positive impact on online social decisions. and the lower the category of knowledge, the more inclined it is to make online social decisions. Finally, social decisions have a positive impact on purchasing decisions about product. It is most significant that academic research has advanced consumer behavior in response to recent changes in the consumption environment. It is meaningful that we have studied in depth the changing consumer decision process in online channel environment.

• Journal of Internet Computing and Services
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• v.13 no.1
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• pp.65-74
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• 2012

Cloud services are used for improving business. Moreover, customer relationship management(CRM) approaches use social networking as tools to enhance services to customers. However, most cloud systems do not support the semantic structures, and because of this, vital information from social network sites is still hard to process and use for business strategy. This paper proposes a collaboration framework based on social semantic web for cloud system. The proposed framework consists of components to support social semantic web to provide an efficient collaboration system for cloud consumers and service providers. The knowledge acquisition module extracts rules from data gathered by social agents and these rules are used for collaboration and business strategy. This paper showed the implementations of processing of social network site data in the proposed semantic model and pattern extraction which was used for the virtual grouping of cloud service providers for efficient collaboration.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.753-763
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• 2014

After retirement, retirees are exposed to many changes. But, one of the most influential factor on retirement is Social network. Social network is making various relationships with many people. This consists of functional feature and structure feature. This study to systematically investigate social network changes of pre- and post-retirement by using two features. We utilized 2008~2012 'Longitudinal study of ageing' and selected 1,569 retirees above 45 years old as a final subject. This study used STATA 12.0 program for analysing frequency and descriptive statistic. At first, we analyzed personal characteristics and affecting factor on social network of retirees through Panel logit model and fixed effects regression model. Second, we applied multiple panel logit model and fixed effects model to learn factor affecting employment and social network changes. We found that a number of social activities affects social network in the structure feature and support from sons and daughters also influences social network in the functional feature after retirement.