• Journal of The Korean Association of Information Education
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• 제11권3호
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• pp.379-387
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• 2007

The purpose of the study was to explore the correlation between in-degree and out-degree centrality Social Network Indices and cognitive and affective learning outcomes measures in an e-Learning environment. Results indicate both the out-degree and in-degree centrality indices are correlated with the cognitive learning outcome measures only. Further, results of the follow-up multiple regression analyses describe the cognitive learning outcome would be predicted by both the in-degree centrality (52%) and out-degree centrality (8%). A discussion is provided to interpret the results and limitations are specified.

• The Journal of the Korea Contents Association
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• 제12권5호
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• pp.393-403
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• 2012

This study is to investigate social network of sports for all's instructor and occupational achievement. To accomplish this goal, this study sampled 240 instructors of sports facilities of Seoul utilizing purposive sampling method in 2011. But this study finally used 203 samples in data analysis. Validity and reliability of instruments tested by expert meetings and reliability analysis. Chronbach's ${\alpha}$ is over .674. Data analysis is logistic regression analysis and multiple regression analysis using SPSSWIN 18.0. Conclusions are the followings. First, gender, number of employment influence on employment throughout individual network. Second, social network influences on occupational achievement. Namely, individual network influences on wage satisfaction, social network influences fitness of academic career.

• 한국노년학
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• 제29권1호
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• pp.291-307
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• 2009

This study investigated the family network of elderly and its effects on the subjective life satisfaction in Rural Area. In order to classify the family network, the authors used the analysis technique of social network including to a spouse, children and grandchildren. In addition, the authors described basic characteristics of family network on the family type, interaction frequency, and interaction content. And then family network typified four types by K-means cluster analysis method according to characteristics of family network and examined difference on life satisfaction of the elderly persons according to the type of family network. The major results were as following. First, the elderly did contact his/her children often, emotional support revealed that highest support expectation of elderly. Second, The family network of elderly could be typified four types ; 'relation estranged type', 'children-grandchildren centered type', 'family dependent type', 'couples centered type' and statistically significant difference showed in life satisfaction according to each type. The result, in the 'couples centered type', the life satisfaction was highest; on the contrary, 'relation estranged type', it was lowest. Third, Influencing factors on life satisfaction of the old person were economic conditions, physical conditions, education level, sex, more frequent contacts with grandchild, emotional support expectation of spouses. The results of this study suggest that social welfare political and institutional efforts are needed to improve the relationship between older persons and their children, grandchildren and spouses and life satisfaction of the elderly.

• The Journal of the Korea Contents Association
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• 제13권8호
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• pp.386-395
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• 2013

This study examined social relation of cyber sports supporter's community and social capital as time passes. This study selected spectator sports supporters of cyber sports community based on number of number and history of cyber sports supporter. This community is a representative supporter's club of spectator sports. This study utilized 1,848 members accumulated during three month. To analyze data, Netminer 4.0 and social network analysis were used. The conclusion is following: First, social relation of cyber sports supporter's community showed up dynamic change. Second, social capital of cyber sports supporter's community shows Sports events and training schedules, player transfer, manager, record, game watching and TV watching, cheering, cheering uniform and tools, players, teams and clubs, game photos and video, etc. This is the poor-get-poorer and the rich-get-richer phenomenon.

• Korean Journal of Social Welfare
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• 제61권4호
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• pp.61-84
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• 2009

This study is to analyze the nature of mentoring network of single mothers with dependent children and to show the mentoring network effect on mentoring function and empowerment applying social network approach. 439 single mothers with dependent children in Busan and Gyeongsangnam-do have been surveyed about mentoring network properties. The results are 1. The mentoring relationships between single mothers have been shown in various size and relationship characters. The out-degree of Their network is low, the range is narrow, and the tie-strength is weak. 2. When the effect of mentoring network characteristics on mentoring function has been analyzed, in career functions, the range of network and the strength of relationships are represented as significant variables among the mentoring network characteristics, in psychosocial functions, the size of network and the strength of relationships are shown as significant variables, and the inverted-U-shaped relationship according to the size of network has not been revealed. In role modeling function only the size of network is represented as a significant variable. 3. The direct effect of mentoring network of single mothers with dependent children has not been much on empowerment and the career related function among mentoring functions has been revealed as the variable, which affect on empowerment. Based on these results the suggestions and implementations are mentioned in this paper.

• Journal of Digital Convergence
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• 제18권8호
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• pp.343-351
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• 2020

The purpose of this study was to investigate social networks, loneliness, and sleep quality related to health-related quality of life in older adults living alone. Data were collected from 111 community-dwelling elderly. The data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson's correlation coefficients, and multiple linear regressions with IBM SPSS 26.0 program. In multiple regression analysis, physical component summary (PCS) was predicted by the level of education (β=.20, p=.020), social networks (β=.31, p=.012), and sleep quality (β=-.23, p=.011). The model including these variables accounted for 25.7% of the variance in the PCS. Mental component summary (MCS) was predicted by loneliness (β=-.37, p=.004). Loneliness accounted for 31.7% of the variance in the MCS. In order to enhance the health-related quality of life of the older adults living alone, the intervention program to resolve social isolation should be provided for them.

• Journal of the Korean Home Economics Association
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• 제33권2호
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• pp.129-141
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• 1995

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 한국지능시스템학회 2008년도 춘계학술대회 학술발표회 논문집
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• pp.190-193
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• 2008

사용자의 '참여'를 지향하는 웹2.0 서비스들은 사람간이나 정보간의 '관계'에 대한 문제에 주목하고 있다. 대표적인 서비스인 블로그는 엮인글을 통해 사용자들의 참여를 이끌고 문서를 연결하고 있으나 이를 악용하는 사례들이 발생하고 있어 이에 대한 해결을 위해 연결에 대한 분석이 요구되고 있다. 사람의 개인 정보와 친구 관계 및 주변 사물과의 관계를 모델링하는 방식인 FOAF(Friend of a Friend)는 이러한 사회연결망 분석을 가능케 하는 수단으로써 연구되고 있다. FOAF는 단순화되고 이해하기 쉬운 용어를 사용하여, 복잡하고 이해하기 어려운 시맨틱 웹의 단점을 극복하기 위한 발판으로서 또한 주목 받고 있다. 본 연구에서는 여러 웹 사이트를 하나의 ID로 이용하기 위한 OpenID를 통해 FOAF에 정보 관리 능력을 부여하여 개인정보 유출 문제를 해결하기 위한 방안을 제시한다. 또한 실제 운영되는 관리 능력을 부여하여 개인정보 유출 문제를 해결하기 위한 방안을 제시한다. 또한 실제 운영되는 사회연결망 서비스의 분석을 통해 OpenID의 정보에 따라 자동으로 사회연결망 정보를 수집하는 성장형 FOAF 프레임워크를 설계하였으며, 쉬운 FOAF를 보급하기 위한 발판을 마련하였다.

• KIPS Transactions on Software and Data Engineering
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• 제4권1호
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• pp.37-44
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• 2015

In traditional social network analysis, the betweenness centrality measure has been heavily used to identify the relative importance of nodes. Since the time complexity to calculate the betweenness centrality is very high, however, it is difficult to get it of each node in large-scale social network where there are so many nodes and edges. In our past study, we defined a new type of network, called the expanded ego network, which is built only with each node's local information, i.e., neighbor information of the node's neighbor nodes, and also defined a new measure, called the expanded ego betweenness centrality. In this paper, We propose algorithm that quickly computes expanded ego betweenness centrality by exploiting structural properties of expanded ego network. Through the experiment with virtual network used Barab$\acute{a}$si-Albert network model to represent the generic social network and facebook network to represent actual social network, We show that the node's importance rank based on the expanded ego betweenness centrality has high similarity with that the node's importance rank based on the existing betweenness centrality. We also show that the proposed algorithm computes the expanded ego betweenness centrality quickly than existing algorithm.

• Journal of Digital Convergence
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• 제15권9호
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• pp.397-406
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• 2017

This study was conducted to identify moderating effects of interpersonal relation and social support on the relationship between depression and health promoting behaviors in the elderly. The participants were 286 elderly using two elderly welfare centers and one cultural center in D city. Data were collected from October 12th to 20th December, 2016, and were analyzed by t-test, ANOVA, multiple regression using SPSS 20.0. The result were as follows; The result were as follows; 1) Mean score of variables was Depression: 20.47, interpersonal relationship: 21.27 points, social support: 20.92 points, and health promotion behaviors: 111.69. 2) Depression had negative relationship with interpersonal relationship(r=-.283, p<.000), social network (r=-.391, p<.000), health promotion behaviors(r=-.611, p<.000), and interpersonal relationship had positive relationship with social support(r=.353, p<.000) and health promotion behaviors(r=.372, p<.000) significantly. 3) Social support had a moderating effect in the relationship between depression and health promoting behaviors(${\beta}=.448$, p=.011), while interpersonal relationship did not show moderation effect(${\beta}=.380$, p=.135). Based on these results, health program for elderly including social support is recommended to promote health behavior of the elderly in the community.