• Research in Community and Public Health Nursing
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• v.26 no.4
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• pp.342-354
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• 2015

Purpose: The purpose of this study was to examine social capital and health-related quality of life (HRQoL) of residents who were living in the three regions(Masan, Jinhae, and Changwon) of integrated Changwon and to analyze the effect of social capital on HRQoL. Methods: This study used the Masan, Jinhae and Changwon data of the 2013 Community Health Survey. The social capital questionnaire consisted of three subdomains (trust, participation, and network). HRQoL was measured with the Korean-version EQ-5D. The effect of social capital on HRQoL was analyzed using multiple regression with controlling for general characteristics and health behavior. Results: The trust level of Masan citizen was highest among the three regions. Jinhae citizen showed the highest level of participation and network out of the three regions. Trust was not a significant influencing factor in any of the three models. Participation was a significant influencing factor in all of the three models. Network was a significant influencing factor only in the Masan model. Conclusion: Participation was the most important factor for health among the three social capital subdomains. Strategies for encouraging social participation are needed for health promotion for the residents of integrated Changwon.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.3
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• pp.1168-1188
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• 2018

Social Network Aggregators are used to maintain and manage manifold accounts over multiple online social networks. Displaying the Activity feed for each social network on a common dashboard has been the status quo of social aggregators for long, however retrieving the desired data from various social networks is a major concern. A user inputs the query desiring the specific outcome from the social networks. Since the intention of the query is solely known by user, therefore the output of the query may not be as per user's expectation unless the system considers 'user-centric' factors. Moreover, the quality of solution depends on these user-centric factors, the user inclination and the nature of the network as well. Thus, there is a need for a system that understands the user's intent serving structured objects. Further, choosing the best execution and optimal ranking functions is also a high priority concern. The current work finds motivation from the above requirements and thus proposes the design of a query processing system to retrieve information from social network that extracts user's intent from various social networks. For further improvements in the research the machine learning techniques are incorporated such as Latent Dirichlet Algorithm (LDA) and Ranking Algorithm to improve the query results and fetch the information using data mining techniques.The proposed framework uniquely contributes a user-centric query retrieval model based on natural language and it is worth mentioning that the proposed framework is efficient when compared on temporal metrics. The proposed Query Processing System to Retrieve Information from Social Network (QPSSN) will increase the discoverability of the user, helps the businesses to collaboratively execute promotions, determine new networks and people. It is an innovative approach to investigate the new aspects of social network. The proposed model offers a significant breakthrough scoring up to precision and recall respectively.

• Journal of Korean Society of Rural Planning
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• v.9 no.3 s.20
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• pp.1-7
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• 2003

As the proportion of the elderly population in rural area is growing rapidly, the quality of life of the rural elderly is becoming a major concern. According to Rowe and Kahn(1997), active and productive engagement in society is a central component of successful aging. Yet, the effect of various social support network on psychological well-being of the rural elderly is not well known. This study is an attempt to empirically examine the connection between social support network and psychological well-being of the rural elderly. For this purpose, community welfare specialists gathered data from 1033 rural elderly in 32 villages, using structured questionnaires. The statistical methods used for the data analysis were descriptive statistics, cross tables, ANOVA and hierarchical regression analysis using spss wins 10.0 program. The major findings of this study are as follows: The majority of rural elderly have social support networks composed of more than one person and the mean number of their social support network was ten persons. The elderly who keep frequent contact with many adult children and friend/neighbor are happier than the elderly who keep contact with fewer number of children and friends. The size of the network of relatives significantly affects the level of loneliness of the elderly. Theoretical and practical implications of this study for the improvement of the quality of life of the rural elderly is discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.176-183
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• 2013

This study is focused on analyzing the quality importance of hotel SNS(social network service). And by reviewing precedent papers and references regarding concept and quality factors about SNS in hotel industry, it drew proper criteria to select priorities and evaluate hotel SNS quality using AHP. The important factors based upon related theories are suggested in this paper such as information quality, system quality, service quality, interface quality and emotional quality. The survey for empirical study was executed with hotel employees and total 149 questionnaires were used for this study. We used AHP for statistical analysis, As the results, the most important factor is emotional quality factor and the next is interface quality factor.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.137-144
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• 2023

The relevance of the research topic lies in the necessity to use social networks as innovative tools of marketing communications. A wide audience and the ability to segment the market for a specific consumer determine the construction of a corporate strategy, which will be based on using the social networking approach. The spread of the global coronavirus pandemic has led to the rapid development of remote communication channels between the company and the customer. The issue of using marketing tools in social networks acquires the most urgent importance in the modern world of the introduction and implementation of the company's marketing strategies. The purpose of the academic paper is to study the use of social networks as features of implementing the marketing campaign. Social networks are the result of the development of digital technologies and the processes of creating an information society involved in the digital space. The objectives of the research are to analyse the opportunity of using social networks as a tool for marketing communications and their implementation at the level of its widespread use by enterprises and establishments. It is significant to create an advertising campaign by defining the target audience and outlining the key aspects, on which the company is focused. The research methodology consists in determining the theoretical and methodological approaches to the essence of introducing social networks and their practical importance in the implementation of marketing activities of companies. The obtained results can significantly improve the quality of functioning of modern enterprises and organizations that plan to master a new market segment or gain competitive advantages in the existing one. The academic paper examines the essence of social networks as a tool of marketing communications. The key principles of the development of digital social platforms were revealed. The quality of implementing the advertising campaign in the social network was studied, and further prospects for the development of using social networks as a component of the marketing strategy were outlined. Therefore, the academic paper analyses the problems of using social networks as a marketing tool.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.6
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• pp.295-306
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• 2016

The purpose of this paper is both to analyze research trends and to predict industrial flows using the meta-data from the previous studies on data quality. There have been many attempts to analyze the research trends in various fields till lately. However, analysis of previous studies on data quality has produced poor results because of its vast scope and data. Therefore, in this paper, we used a text mining, social network analysis for time series network analysis to analyze the vast scope and data of data quality collected from a Web of Science index database of papers published in the international data quality-field journals for 10 years. The analysis results are as follows: Decreases in Mathematical & Computational Biology, Chemistry, Health Care Sciences & Services, Biochemistry & Molecular Biology, Biochemistry & Molecular Biology, and Medical Information Science. Increases, on the contrary, in Environmental Sciences, Water Resources, Geology, and Instruments & Instrumentation. In addition, the social network analysis results show that the subjects which have the high centrality are analysis, algorithm, and network, and also, image, model, sensor, and optimization are increasing subjects in the data quality field. Furthermore, the industrial connection analysis result on data quality shows that there is high correlation between technique, industry, health, infrastructure, and customer service. And it predicted that the Environmental Sciences, Biotechnology, and Health Industry will be continuously developed. This paper will be useful for people, not only who are in the data quality industry field, but also the researchers who analyze research patterns and find out the industry connection on data quality.

• Journal of Korean Academy of Nursing
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• v.35 no.3
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• pp.478-486
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• 2005

Purpose: The purpose of this study was to investigate the influencing factors on health-related quality of life of physically disabled persons. Method: Data was collected from 96 persons with a physical disability in three cities in Korea from June to September, 2003. Social support and depression were measured by a Social Support Questionnaire 6 ($SSQ_6$) and Center for Epidemiologic Studies Depression questionnaire (CES-D). The Rosenberg Self-esteem Scale was used to measure self-esteem. Health-related quality of life (HRQOL) was measured using Smith Kline Beecham Quality of Life Scale (SBQOL). The SPSS WIN 11.0 version program was used for data analysis. Result: There were significant differences of HRQOL according to monthly income and economic status. All subjects had a high level of depression and low self-esteem. Conclusion: The findings of this study show that self-esteem and the size of the social support network are significant influencing variables on HRQOL in physically disabled persons. Nursing intervention and counseling programs which improve self-esteem and increase the size of a social support network are needed to promote HRQOL in physically disabled persons.

• Journal of Korean Society for Quality Management
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• v.41 no.4
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• pp.637-648
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• 2013

Purpose: The objective of this study is to provide a methodology that can facilitate efficient development of a product portfolio by utilizing Korean Standards(KS) networks. Methods: A case study on a steel manufacturing company is provided. Social network analysis h as been conducted on KS network and KS certification information of the company. Core test standards of a company have been identified. The core standards, then, used to construct a product-standard network of a corresponding industry. Results: As a result of analyzing product-standard networks, a product portfolio of a company has been developed. It has been shown that the candidate product portfolio is a cost-effective alternative in terms of standard maintenance cost. Conclusion: By using social network analysis, standards information can be used to support new product development process.

• Journal of Communications and Networks
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• v.17 no.2
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• pp.110-117
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• 2015

In mobile social network, it is a critical challenge to select an optimal set of devices to supply high quality service constantly under dynamic network topology and the limit of device capacity in mobile ad-hoc network (MANET). In this paper, a multi-devices composition and maintenance problem is proposed with ubiquitous service model and network model. In addition, a multi-devices composition and maintenance approach with dynamic planning is proposed to deal with this problem, consisting of service discovery, service composition, service monitor and service recover. At last, the simulation is implemented with OPNET and MATLAB and the result shows this mechanism is better applied to support complex ubiquitous service.

• Journal of Service Research and Studies
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• v.1 no.1
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• pp.49-60
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• 2011

Recently, with the growing of social network sites, people's choice is also getting more and more. So the notion of loyalty has become an important construct within the Social Network framework because of member is easy switching on the social networking sites. Despite the increasing importance of social network sites loyalty question, there's very little research in this area. In electronic commerce, the website loyalty development process is based on both website satisfaction and website trust toward the net-enabled business. But how to target the members with high or low loyalty in the social network sites is still a question. In this paper we propose one improved RFM model to evaluate the member loyalty to find the potential members for improving the service quality of the social network site. In addition, an empirical case study is performed to demonstrate how this procedure works. Moreover, further applications of this research are provided for improved social network sites experiences and how to use the model to practice.