• Journal of Family Resource Management and Policy Review
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• v.21 no.3
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• pp.23-42
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• 2017

The purpose of this study was to identify the social networks used by the rural elderly and to analyze the effects of these social networks on the need for life services. The research subjects were 1,000 people aged 65 years and over living in the rural areas of Korea. Among the total 1,000 respondents, 979 elderly who have children were included in this study. The data were analyzed using frequency analysis, descriptive statistics, and multiple regression analysis. The results of this study were as follows. First, the frequency of contact with friends/neighbors was higher than that of children, whereas the social support of children was higher than that of friends/neighbors(excluding physical support). Second, the rate of use of home services and the elderly welfare center was very low. Promotion, a minimum cost burden, convenient transportation (circulation bus operation, etc.), and the provision of visiting services are examples of ways to be using them much more. Third, the elderly who do not live with their children have a higher need for life services. As well unlike the elderly who live with their children, in the case of the elderly who do not live with their children, the necessity for life services was influenced not only by their children but also by the relationship with their friends/neighbors and by home services. This implies that comprehensive social networks are important for the elderly who do not live with their children. Therefore, it is necessary to activate the social support of the community as well as of children and friends/neighbors.

• Journal of Internet Computing and Services
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• v.18 no.4
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• pp.7-17
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• 2017

Despite various types of online social networks having different topological and functional characteristics, the kinds of online social networks considered in social recommendations are highly restricted. The pervasiveness of social networks has brought scholarly attention to expanding the scope of social recommendations into more diverse and less explored types of online social networks. As a preliminary attempt, this study examined the information-sharing patterns of a new type of online social network - unilateral (directed) network - and assessed the feasibility of the network as a useful information source. Specifically, this study mainly focused on the presence of shared interests in unilateral networks, because the shared information is the inevitable condition for utilizing the networks as a feasible source of personalized recommendations. As the results, we discovered that user pairs with direct and distant links shared significantly more similar information than the other non-connected pairs. Individual users' social properties were also significantly correlated with the degree of their information similarity with social connections. We also found the substitutability of online social networks for the top cohorts anonymously chosen by the collaborative filtering algorithm.

• Journal of Korea Multimedia Society
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• v.14 no.4
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• pp.546-553
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• 2011

Every day 60 million emails are sent out around the world. IT technology has given us so many ways of communicating. Technology such as twitter has the potential to give us more than just an opportunity to tell others what happened in our day. If we understand and appreciate what twitter is capable of, we can use it to instantly share our lives with others. In this paper, we introduce to the trend of web and social networks, mini blog and twitter services of digital new media age. Finally, we proposed a strategy of application for the social media and the direction of growth for twitter.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.3
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• pp.18-26
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• 2011

Social network services whose users increase rapidly is the online services that reflect social network. They are used for various purposes such as strategy of election, commercial advertisement and marketing, educational information sharing and exchange of medical knowledge and opinions. These services make users form social networks with other users who have common interests and expand their relationships by releasing their personal information and utilizing other users' social networks. However, the social network services based on open and sharing of information raise various security threats such as violation of privacy and phishing. In this paper, we propose a group key management scheme and protocols using key rings to protect communication of small groups in social network services.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.3
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• pp.361-365
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• 2010

In recent years, social networks come into the spotlight as the important ways to find people or share information. Especially, existing social network services based on the Internet, such as Facebook.com and Cyworld.com, are now extended into the mobile environment. A mobile phone easily collects the personal information since it is carried by the user at all times, and various types of data can be gathered together with the advance of sensor technologies. These features differentiate the mobile social network services from the previous Internet-based services. In this paper, we estimate the user's mobile social contexts like closeness and relationship between the user and surrounding people using Bayesian networks. The mobile social contexts can be employed as important information for providing mobile social network services, and experimental results on real world data have verified their possibilities.

• Journal of Information Technology Services
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• v.19 no.1
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• pp.1-16
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• 2020

Suncheon City Regeneration Project is known as the concept of cultural residents. Through the previous projects, the residents' capabilities have been improved, and the projects have been carried out according to their strategies. For this reason, participants in urban regeneration projects are important. The purpose of this study is to actually identify the 'rescue center' and 'direct relationship' with the analysis utilizing the characteristics of social networks NetMiner solution of the participants, who led the project, Suncheon. Surveys and interviews were conducted for participants, and the characteristics of social networks were analyzed in time series to quantify and visualize the results. As a result of the analysis, social networks were changed among the participants before and after the urban regeneration project. Initially, loose networks were denser over time, and initially networks formed only around participants were expanded over time. Network analysis has revealed that the system is strengthening with urban regeneration projects in the form of public and public-private cooperation. This highlights the need for a city-centered urban regeneration strategy centered on people and shows that a dense network of participants can be a success factor.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.479-490
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• 2017

The objective of this study is to examine the association of social networks and medical care utilization of elderly living alone depending on self-rated health status, and also to measure the moderating effects of welfare services for elderly. To this purpose, the data which was collected from the 2014 National Survey on Elderly in Korea was analyzed by Chi-square test and Poisson regression. According to the results, social networks and elderly welfare services affected to medical care utilization of elderly living alone, only who aware of their self-rated health status as bad. With this group, the frequency of contact with family and participation in lifelong education had a significant effect on increasing medical care utilization. In contrast, the frequency of contact with neighbors and the participation in elderly employment program were significant to reduce the utilization of medical care. Furthermore, the moderating effects of elderly welfare services were also measured that formal social gathering has an effect of increasing the medical care utilization of elderly living alone by expansion of their social networks. Based on these results, this study consequently has an implication for suggesting expansion of elderly welfare services, which might be an alternative to social networks of elderly living alone, and also for seeking the direction of political intervention that helps health promotion and disease prevention through the research of medical care utilization.

• Journal of Information Technology Services
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• v.13 no.2
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• pp.173-184
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• 2014

As social network services has become one of the most successful web-based business, recommendation in social network sites that assist people to choose various products and services is also widely adopted. Collaborative Filtering is one of the most widely adopted recommendation approaches, but recommendation technique that use explicit or implicit social network information from social networks has become proposed in recent research works. In this paper, we reviewed and compared research works about recommendation using social network analysis and collaborative filtering in social network sites. As the results of the analysis, we suggested the trends and implications for future research of recommendation in SNSs. It is expected that graph-based analysis on the semantic social network and systematic comparative analysis on the performances of social filtering and collaborative filtering are required.

• The Korean Journal of Health Service Management
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• v.7 no.3
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• pp.177-192
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• 2013

The present study investigated the effect of area-specific social networks on urban workers life satisfaction. For this, 356 adults over age 20 were interviewed from June 17th 2013 to June 29th 2013. The findings are as follows: First, the closeness of family network index demonstrates that participants with higher affective support have higher life satisfaction. In addition, stronger extended family network brings more life satisfaction and so does a bigger friendship network. Secondly, the extended family network explains 17.6% of the variance in social networks follows by family network, other network, and friendship network, respectively. The closeness variable of social networks yields statistical significance on all categories of networks. The affective support level in the closeness variable of social networks shows differences as well; family network positively associates with life satisfaction. The purposes of this research are to investigate the actual conditions of urban workers' life satisfaction and the influence of family, extended family, friendship, and other variables on life satisfaction. If social networks have an influence on life satisfaction, to find the domain of social networks that holds the most influences on life satisfaction is an important ground in the process of implementing regional welfare.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.421-433
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• 2015

Recently, there have been fast-growing social network services based on the Internet environment and web technology development, the prevalence of smartphones, etc. Social networks also allow the users to convey the information and news so that they have a great influence on the public opinion formed by social interaction among users as well as the spread of information. On the other hand, these social networks also serve as perfect environments for rampant malware. Malware is rapidly being spread because relationships are formed on trust among the users. In this paper, an effective patch strategy is proposed to deal with malicious worms based on social networks. A graph is formed to analyze the structure of a social network, and subgroups are formed in the graph for the distributed patch strategy. The weighted directions and activities between the nodes are taken into account to select reliable key nodes from the generated subgroups, and the Incremental PageRanking algorithm reflecting dynamic social network features (addition/deletion of users and links) is used for deriving the high influential key nodes. With the patch based on the derived key nodes, the proposed method can prevent worms from spreading over social networks.