• Journal of Families and Better Life
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• v.20 no.4
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• pp.149-164
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• 2002

The purpose of this study was to identify the types of social networks of urban housewives according to different network composition patterns and to analyze the structural and functional characteristics of identified types. The data used in this study were collected from 589 full-time housewives residing in Taejeon city. The major findings are as follows: 1) The social networks of housewives in urban nuclear families were classified into eight types: the kin network, the non-kin network, the kin-centered network, the friend-centered network, the neighbor-centered network, the associate-centered network, the parallel network, and the decentralized network. 2) The structual characteristics (size, density, homogeneity, duration, proximity, frequency, closeness, direction) varied according to the type. The kin network type and the non-kin network type showed extreme degrees in network characteristics. The parallel network type and the decentralized network type showed an average level of network characteristics. The kin-, friend-, neighbor-, and the associate-centered types showed network characteristics of an intermediate level between the single-category types and the decentralized type. 3) The average levels of function of social network types were different in only two(service support, interference) of the six function areas(emotional support, service support, material support, information support, social companionship support, interference). The average level of service support by the non-kin network type was higher than other types. The average level of interference by the kin-centered network type was higher than other types, and that of the neighbor-centered network type was lower than other types. On the other hand, the total amount of function performance of social network types was different in all function areas. The total amount of social support given by the decentralized network type was greater than the other types. The total amount of interference given by the non-kin network type was smaller than the other types.

• Korean Journal of Social Welfare Studies
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• v.45 no.2
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• pp.147-172
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• 2014

The purpose of this study is to analyze the cause-and-effect relationships among positive verbal expressions from family members, social network, and disability identity as the determinant factors of intention to work. To achieve the goal, 453 persons with disabilities and with experiences of using facilities for the disabled were studied, who were recruited for the national survey of domestic violence in 2010. For the research subjects, the cause-and-effect relationships among the major factors were examined by using a structural equation model. According to the results, disability identity and intent to work tended to be higher as they had experienced more of positive verbal expressions from their families. Moreover, a more participation in social activities increased disability identity, but not intent to work. Lastly, disability identity was found to be a determinant of intent to work. Based on the results, we provide suggestions to achieve social inclusion of people with disabilities by raising the intent to work.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.438-447
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• 2012

This study was to explore the social network structure of professional volleyball players and analyze network variables and resource exchange. This study selected 127 players of Korean professional volleyball in ten team of male and female using the purposive sampling method. The research method utilized general social survey of NGQ(Name Generator Question) and interview. To analyze data, NetMiner 3.0 and SNA(social network analysis) were used. The conclusion based on above study method and the result of material analysis are here below. First, social network of professional volleyball players is scale-free network following power law. Centrality and herb of club members' network show up richer-get-richer and poor-get-poor by collecting links of back of beyond. Second, social network structure of professional volleyball players influence resource exchange.

• (The)Korea Educational Review
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• v.18 no.1
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• pp.253-281
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• 2012

This qualitative study explores how Mongolian migrant workers, with a marked tendency for family migration, plan and put into practice their child's education and attach meaning to it in relation to the social network they form during their stay in Korea. Specifically, it analyzes in particular ways the social network Mongolian migrant workers form affect their settlement in Korea, the process by which the social network affects their planning of their child's education, and how the education planning and its realization lead to the formation of new social networks. The results show that parents were divided between those who made a deliberate decision in sending their child to the Seoul Mongol School as a part of their plan and those who chose the school due to forced circumstances. While some parents preferred the Seoul Mongol School over regular Korean schools for their child's education and future, others sent their child to the Seoul Mongol School, regardless of their preference, because they did not have access to information about regular Korean schools, were afraid of divulging their illegal status, or were afraid their child would not be able to adjust to the school life in Korean schools. Based on such analysis, this paper stresses the urgency of further research in this area, and suggests direction for future policy measures.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06c
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• pp.94-98
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• 2010

첨단과학의 발달과 정보화 시대는 전쟁수행 패러다임을 근본적으로 변화시키고 있다. 이러한 전장 환경의 변화와 더불어 군 내부에서도 정보기술의 급격한 변화를 적극적으로 수용하고 21세기 국방을 건설하기 위한 국방 정보화 목표를 앞당기기 위해 수많은 정보기술체계를 도입하고 적용하고 있다. 이러한 수많은 체계들의 유입 속에서 각 체계간의 상관관계를 규명하여 효과적으로 사용하는 것은 중요한 문제로 대두되고 있으며, 이러한 문제의 해결방법으로 최근에 대두되고 있는 방법론이 사회연결망 분석(SNA : Social Network Analysis)이다. 사회연결만 분석은 무수히 많은 정보의 홍수 속에서 그들의 관계를 파악하고, 임무수행에 필요한 중요 노드를 식별하여 불필요한 자원을 낭비 하지 않은 중요한 요소를 분석 할 수 있는 유용한 방법론으로 사회, 문화 전반에 걸쳐 활발히 연구되고 있다. 본 논문에서는 이러한 사회연결망분석을 통해 지휘통제체계와 연계된 노드간의 관계를 규명하고, 관계망속에 속한 정보의 획득 및 흐름을 파악하여 이를 시각화하고자 한다. 이를 통해 현재 운용중인 지휘통제체계 구조에 대해 이해하기 쉽고, 용이하게 파악 할 수 있으며, 이를 기반으로 지휘구조의 조직과 조직적인 행동과 현상을 도출하고, 향후 군 네트워크 파워를 측정 할 수 있다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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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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• v.4 no.1
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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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• v.18 no.8
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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.

• 한국사회복지학회:학술대회논문집
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• 1993.11a
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• pp.279-289
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• 1993

• Proceedings of the KHMA Conference
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• 2008.11a
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• pp.245-245
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• 2008