• 한국노년학
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• v.38 no.3
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• pp.627-643
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• 2018

This study aims to analyze gender differences in the prevalence of and risk factors for self-neglect among the elderly in South Korea. In order to investigate the differences between male and female elderly group, we compared 793 elderly men and 1,089 women from the data "Research on the Healthy Aging and Well-being of the Elderly" conducted in 2018. First, t-test and ${\chi}^2$-test and multiple regression analysis identified that gender differences in the prevalence of elder self-neglect was not statistically significant. Second, There are differences in risk factors affecting self-neglect between genders. age and class(perception) are the factors only affecting men. Income(monthly), having-religion, living-alone, satisfaction with life, social network are the ones only affecting women. Third, the risk factors for both men and women are depression and social support(public support). It is notable that we verify the empirical evidence supporting the hypothesis that risk factors for elder self-neglect may exist differently according to gender. In particular, gender characteristics revealed in this study can be reasonably explained through exchange theory and feminist theory. Therefore, we emphasize that the policy approach should be done depending on the gender of the elderly, and that the social safety net more paying attention to the depression of the elderly should be strengthened.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.423-442
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• 2018

This study observes the psychological changes of unemployed people according to their unemployment period. With this what psychological changes they face according to their unemployment period and what psychological characteristics they show, whether if psychological changes and job hunting activities are in relation, and whether if psychological changes affect job hunting activities. The study subjects received unemployment wage and were divided according to before employment, 1~3 months unemployed, and 4 months or more unemployed. An in-depth research of 8 people was conducted within the period of 2017.05~08. The psychological characteristics of people, in the period from when they first sense unemployment possibilities until three months of unemployment, are anger, anxiety, fear, which is a mixed characteristic that does not disappear but continues deepening. In study there was no significant difference in depression, anxiety, anger, social phobia, alcohol, religion factors, low self-esteem, and low self-efficacy in before employment, 1~3 months unemployed, and 4 months or more unemployed. However, the average levels of anger anxiety, depression, and social phobia were higher when the unemployment period was longer and the results of low self-esteem and low self-efficacy support further research.

• Korean Journal of Environment and Ecology
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• v.36 no.6
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• pp.651-661
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• 2022

Plants social network analysis, which combines plants society and social network analyses, is a new research method for understanding plants society. This study was conducted to investigate the relationship between species, using plant social network analysis targeting Taejongdae in Busan, and build basic data for management. Taejongdae, located in the warm temperate forest in Korea, is a representative coastal forest of Busan Metropolitan City, and the Pinus thunbergii-Eurya japonicacommunity is widely distributed. This study set up 100 quadrats (size of 100m²each) in Taejongdae to investigate the species that emerged and analyzed the interspecies association focusing on major species. Based on the results, a sociogram was created using the Gephi 0.9.2, and the network centrality and structure were analyzed. The results showed that the frequency of appearance was high in the order of P. thunbergii, E. japonica, Quercus serrata, Sorbus alnifolia, Ligustrum japonicum, and Styrax japonicusand that many evergreen broad-leaved trees appeared due to the environmental characteristics of the site. The plants social network of Taejongdae was composed of a small-scale network with 50 nodes and 172 links and was divided into 4 groups through modularization. The succession sere identified through a sociogram confirmed that the group that include P. thunbergiiand E. japonicawould progress to a deciduous broadleaf community dominated by Q. serrataand Carpinus tschonoskii, using hub nodes such as Prunus serrulataf. spontaneaand Toxicodendron trichocarpum. Another succession sere was highly likely to progress to an evergreen broad-leaved community dominated by Machilus thunbergiiand Neolitsea sericea, using M. thunbergiias a medium. In some areas, a transition to a deciduous broad-leaved community dominated by Celtis sinensis, Q. variabilisand Zelkova serratausing Lindera obtusilobaand C. sinensisas hub nodes was expected.

• Management & Information Systems Review
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• v.35 no.4
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• pp.99-122
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• 2016

The social networking services (SNSs) have become popular among smartphone users, and one of the most popular services. In order to explain users' motivations toward SNS, this study considers uses and gratification theory which can explain individuals' motivations to select certain media channels. The purposes of this study is to investigate the relationships between motivations and addiction of SNS, and between addiction of SNS and decline in the subjective wellbeing. We examine moderating effects of social tie based on the social capital theory in the relationships between SNS addiction and decline in the subjective wellbeing. The motivations of SNS are subdivided into emotional motive (entertainment and fantasy) and cognitive motive (information share burden and challenge burden) based on the use and gratifications theory. The addiction of SNS is subdivided into time tolerance, withdrawal symptoms, interruption, and barrier of living. The data used in this study were collected from 286 SNS users through surveys. The data analysis in this study was performed using AMOS 17.0, and we used SEM(Structural Equation Modeling) methods in order to test the research model. The result shows that the emotional motive(entertainment and fantasy) and cognitive motive(information share burden and challenge burden) have an effect on the addiction of SNS. Especially emotional motive such as entertainment and users' fantasy toward SNS is an important factor that can cause SNS addiction. The addiction of SNS such as time tolerance, withdrawal symptoms, interruption, and barrier of living has an effect on the decline in the subjective wellbeing. Our result show that social tie partially moderates the relationship SNS addiction and decline in the subjective wellbeing. In addition, social tie between interruption of SNS and decline in the subjective wellbeing is an important moderating factor. The results focuses on the understanding toward relationship between SNS addiction based on the online and decline in the subjective wellbeing in the real world. The findings of this study also provides theoretical as well as practical implications which reflect the major features of SNS, and moderating effects of social tie based on the social capital.

• Korean Journal of Social Welfare
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• v.39
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• pp.322-349
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• 1999

The purpose of the study is to investigate kinds of social support provided by various types of family members, relationships between types of family support and personal variables of the elderly and structural variables of the family network, and the relationships between family support and depression of the elderly. Here, family included a spouse, sons and daughters and their spouses, grandchildren, siblings and parents of an older person. Social support consisted of emotional, instrumental, financial help and social companionship. Two-hundred-eight older persons of age 60 years and over were interviewed. The main results of the study were as follows: an older person's spouse tended to provide more for emotional support, sons for financial help, daughters-in-law for instrumental support, and daughters for emotional and financial support. Some elderly were also provided for emotional support by parents and siblings. Possibility of daughters-in-laws and grandchildren as support providers was also verified. Various factors among personal and network-structural characteristics were significantly related to many types of social support provided by various types of family members. In general, while younger female elders, elders with good IADL ability or more frequent contacts with family members tended to have social support from more family members, support from daughters-in-law was provided to the elderly with less functional abilities. Various types of social support from a spouse were significantly related to depression level of the elderly. Their depression level was more related to whether or not sons and daughters-in-law exist rather than whether or not they provide social support. Practical methods to increase family support for the elderly were discussed.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.1
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• pp.56-70
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• 2020

This study identifies the impact of social network service (SNS) on the spatial characteristics of retail stores locations in the hyper-connected society, which have been closely related to the everyday lives of urban residents. In particular, we focus on the changes in the spatial distribution of restaurants since the information retrieval process was added to the decision-making process of a consumer's restaurant selection. Empirically, we analyze restaurants in Seoul, Korea since the smart-phone was introduced. By applying the kernel density estimation and Moran's I index, we examine the changes in the spatial distribution pattern of restaurants during the last ten years for running, newly-open and closed restaurants as well as SNS popular ones. Finally, we develop a spatial regression model to identify geographic features affecting their locations. As the results, we identified geographical variables and online factors that influence the location of restaurants. The results of this study could provide important groundwork for food and beverage location planning and policy formulation.

• The Journal of Korean Association of Computer Education
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• v.16 no.2
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• pp.61-68
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• 2013

SNS is a social networking service that helps people to have a two-way communication, manage their personal relationships and share information. The domestic and international SNS markets have attained a steady growth, and their growth is being more accelerated recently. Under these circumstances, immature students are more likely to show negative cyber behavior. This study attempted to analyze the relationship between the use of SNS, motives of SNS use, the use of active SNS functions, SNS-dependency and views in SNS and negative SNS behaviors among elementary and middle school students. For this, negative cycber behaviors are classified into four stages depending on the severity, for each of which distribution of factors is investigated and the combination of factors to determine each stage is obtained through association rule analysis. As a result, it is found that 85% of the students rarely show negative cyber behaviors, stealing personal information and contacting with strangers are the most frequent negative behaviors, and students with a great dependency on SNS are highly probable to show negative behaviors.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.255-260
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• 2020

In this paper, I propose an efficient brand identity strategy by topic modeling the Instagram posts, one of SNS(Social Network Service) having more than 1billion world-wide and 500 million daily users. Since the 92% age groups of the Instagram is 18~50 years old (59% 18~29y and 33% 30~49), I set research analysis target three mobile commerce sites to dress and cosmetics sales sites that sale apparels cosmetics and gadgets that recently opened and have operated marketing on diverse channel including SNS. By topic modeling SNS posts for 6 months after launching the site that tagged each m-commerce site brand name or company name, I validate companies' brand identity strategy works effectively and suggest moderation of strategy for brand image. As a result, I found one of three mobile commerce site has different brand image by users and need different identity set up.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.541-548
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• 2020

Interest in emotions continues to rise around the world, including Korea, and in recent years, new styles such as new-tro, a new term referring to 'gaem-seong' of the social networking service generation, have emerged. Considering the strong influence of emotion on time and the environment, it is necessary to recognize the public's emotion about the current new style. Thus, in this study, 12 emotional vocabulary words were selected from the nine products applied with the new-tro style: want, cute, happy, pleasure, unique, cool, stylish, pretty, fun, like, joy, and special. According to the analysis of the survey, men's emotions were higher in order of "funny-cute-happy," and women's emotions were higher in order of 40s, 30s, 50s and 20s. Emotional vocabulary extracted from this study can be used to evaluate the sensitivity of objects to which the new-tro style is applied and will be utilized as specific emotional evaluation data through the analysis methods presented.

• Journal of the Korean Data and Information Science Society
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• v.25 no.2
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• pp.373-384
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• 2014

Data mining is to clarify pattern or correlation of mass data of complicated structure and to predict the diverse outcomes. This technique is used in the fields of finance, telecommunication, circulation, medicine and so on. In this paper, we selected risk factors of respiratory diseases in the field of medicine. The data we used was divided into respiratory diseases group and health group from the Gyeongsangbuk-do database of Community Health Survey conducted in 2012. In order to select major risk factors, we applied data mining techniques such as neural network, logistic regression, Bayesian network, C5.0 and CART. We divided total data into training and testing data, and applied model which was designed by training data to testing data. By the comparison of prediction accuracy, CART was identified as best model. Depression, smoking and stress were proved as the major risk factors of respiratory disease.