• Korean Journal of Human Ecology
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• v.21 no.5
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• pp.929-945
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• 2012

This study examined structured social network types and their relationship to quality on life satisfaction of older adults. Respondents were 418 adults aged 60 or older living alone or as couples. The data was analyzed using K-means cluster analysis. Four networks types were identified: diverse, friend-neighbor focused, family focused, and restricted. Life satisfaction was highest for individuals in the diverse network group and lowest for individuals in the restricted network group. Stepwise multiple regression analysis indicated that life satisfaction of the elderly was affected by the diverse network, family focused network, the relationship quality with children, the relationship quality with neighbors, and the relationship quality with relatives. Results suggested that having diverse social network in close proximity is very important in old age and structural network types may have important practical implications for improving the quality of life among the elderly.

• 한국노년학
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• v.38 no.3
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• pp.481-499
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• 2018

The purpose of this study is to examine the impacts of smartphone use on structured social network types in the Korean elderly population. Data was derived from the 2014 survey of living conditions and welfare needs of Korean older persons collected by Korea Institute for Health and Social Affairs. A total of 4,180 participants were selected for the Propensity Score Matching (PSM) analysis. Based on propensity score estimates, the 491 smartphone users (treatment group) and 491 featurephone users (control group) were matched. Ordinary Least Squares (OLS) regression analysis was conducted to examine the relationship between smartphone use and structural social network types. The results showed that among retired older adults, people using smartphone had significantly better structured social networks than those using featurephone even after controlling for covariates. Smartphone users had the higher levels of social contact and social activity. These findings suggested empirical evidence that using smartphone positively affects structured social networks, which might be used as the basis for designing intervention programs to promote social networks and social engagement of retired older adults.

• Journal of Korean Academy of Nursing
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• v.40 no.1
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• pp.88-98
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• 2010

Purpose: The purpose of this study was to identify the social network types of elders and to identify differences among latent classes by social network. Methods: The data of 312 elders used in this study were collected from health, welfare, and other facilities and from elders living in the community. The interviews were conducted from July 16 to September 30, 2007 using a standard, structured questionnaire. Descriptive statistics, one way ANOVA with the SPSS 15.0 program and latent class analysis using Maximum Likelihood Latent Structure Analysis (MLLSA) program were used to analyze the data. Results: Using latent class analysis, social network types among older adults were identified as diverse for 58.0% of the sample, as family for 34.0%, and as isolated for 8.0%. The health status of respondents differed significantly by network type. Elders in diverse networks had significantly higher health status and elders in isolated networks had significantly lower physical health status on average than those in all other networks. Conclusion: The results of this study suggest that these network types have important practical implications for health status of elders. Social service programs should focus on different groups based on social network type and promote social support and social integration.

• Journal of Family Resource Management and Policy Review
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• v.10 no.3
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• pp.97-111
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• 2006

The objective of this research is to analyze how main social relation network of middle-aged women such as family, friends and neighbors, etc affects the preference for silver town. For this objective, structured questionnaires were distributed to 309 middle-aged women at the age of 40-59 years old living in Seoul and new cities of metropolitan area. Statistics such as ANOVA, Pearson Coefficient and Multiple Regression were adopted for statistical analysis. The main result of this research is as follows: First, housewives showed higher preference for silver town than people involved in other occupations. Second, though the relation of friends and neighbors among the social relation network of middle-aged women affected the preference for silver town, that of family did not affect significantly. The result of this research suggests that it is necessary to adopt policy considering the relation of friends and neighbors among the social relation network of middle-aged women so as to activate silver town.

• Journal of Information Processing Systems
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• v.18 no.5
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• pp.677-687
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• 2022

We propose a detection algorithm based on tree-structured convolutional neural networks (TsCNNs) that finds pornography, propaganda, or other inappropriate content on a social media network. The algorithm sequentially applies the typical convolutional neural network (CNN) algorithm in a tree-like structure to minimize classification errors in similar classes, and thus improves accuracy. We implemented the detection system and conducted experiments on a data set comprised of 6 ordinary classes and 11 inappropriate classes collected from the Korean military social network. Each model of the proposed algorithm was trained, and the performance was then evaluated according to the images and videos identified. Experimental results with 20,005 new images showed that the overall accuracy in image identification achieved a high-performance level of 99.51%, and the effectiveness of the algorithm reduced identification errors by the typical CNN algorithm by 64.87 %. By reducing false alarms in video identification from the domain, the TsCNNs achieved optimal performance of 98.11% when using 10 minutes frame-sampling intervals. This indicates that classification through proper sampling contributes to the reduction of computational burden and false alarms.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.232-239
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• 2009

Emerging social networking services provide a new paradigm for human-to-human communication. However, these services are centralized and managed by single service provider. In this paper, we propose MicroPost, a decentralized event notification service architecture for social applications based on publish/subscribe model. In our design space, event brokers are structured as an overlay network which provides the substrate of distributed peer-to-peer lookup service for storing and retrieving subscriptions with hashed keys. Event clients interact with event brokers to publish or subscribe social messages over the wide-area network. Using XML standards, we present an efficient algorithm to forward events for rendezvous-based matching in this paper. In our design space, the cost of routing is O(${\omega}log_kN$), where N is the number of event brokers, ${\omega}$ is the number of meta-data obtained from event messages, and k is a constant, which is selected by our design, to divide the identifier space and to conquer the lookup of given key. Consequently, what we achieved is an asynchronous social messaging service architecture which is decentralized, efficient, scalable, and flexible.

• 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 Digital Convergence
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• v.11 no.5
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• pp.41-51
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• 2013

A lots of social data are distributed, utilized and opened through the social media. They have characterized effectiveness and pleasure of information to the media by social data but it is ignored about excessive exposure of information and damage from collective reply of personal attack type. In this paper, we study about analysis of opinion social data on the SNS (Social Network Service) by analyzing of collective damage reply. It is analysed by diverse measurement method for distribution and disuse of the amount of Buzz data that is analysed data from structured social network.

• Journal of Families and Better Life
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• v.9 no.1 s.17
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• pp.161-178
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• 1991

The purposes of this study are to investigate the impacts of social network support on the middle-aged housewives' crisis and to identify the importance of social network systems of modern families. The subjects of this study were unemployed housewives living in the Seoul area, whose age was from 40 to 59 and whose last child was older than 11 years old. Data were collected by structured questionnaire with the subjects(N= 404). The collected data were analyzed by Frequencies, onewy ANOVA, Scheffe-test, t-test. The major findings were as follows ; 1) Middle-aged housewives, who were the first half of 40's, university graduated, and bilieved in a religion, had lower crisis. 2) The association of social network support and middle-aged housewives' crisis, which were found to be significant were as follows ; (1) The more middle-aged housewives received total, emotional, instrumental support from husbands' families of origin, the lower their crisis was. (2) The more middle-aged housewives received total, emotional, informational, support from their families of origin, the lower their crisis was. (3) The more middle-aged housewives received total, emotional, instrumental support from their friends, the lower their crisis was. (4) The more middle-aged housewives received total, emotional, instrumental, social companionship support from their voluntary association members, the lower their crisis was.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.223-232
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• 2023

The purpose of this study is to determine the impact of social network sports community consciousness on loyalty and sports attitude. In order to achieve this research purpose, the population of the study was selected as adult men and women over the age of 20 who are active in the social network sports community in 2022. The sampling method used cluster random sampling to select a total of 300 people, 150 men and 150 women, as research subjects. The survey tool used was the questionnaire method, and the questionnaire whose reliability and validity had been verified in previous studies at home and abroad was used by requoting, modifying, or supplementing it to suit the purpose of this study. It was also structured on a 5-point scale. Frequency analysis, factor analysis, reliability analysis, simple regression analysis, and multiple regression analysis were performed on the collected data using the statistical program SPSS Windows 20.0 Version. The results obtained through this process are as follows. First, social network sports community consciousness was found to have a partial effect on loyalty. Second, social network sports community consciousness was found to have a partial effect on sports attitudes. Third, social network sports community loyalty was found to have a partial effect on sports attitudes. Considering these results, various activities such as decision-making process, relationship formation, and opinion expression of modern people are carried out by the O-line community. In addition, while in the past it was a format that led from offline activities to online activities, currently, there are more and more formats that lead from online activities to offline activities. Therefore, modern people's SNS sports community activities provide many experiences, which creates a sense of community and sports attitudes are formed based on this. This can be said to lead to loyal activities.