• 한국융합학회논문지
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• 제9권1호
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• pp.143-149
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• 2018

이 논문은 싱가포르가 저출산 해결을 위해 '결혼장려정책'을 도입하고 실행주체인 'Social Development Network'(사회개발네트워크)를 어떻게 활용하여 저출산 문제에 대처해왔는지에 초점을 맞춘다. Social Development Network는 결혼에 대한 싱가포르의 국가 책임주의를 잘 드러내는 조직으로서 출범부터 고학력 여성의 독신 증가와 출산력 저하라는 사회현상과 맞물려 발전해왔다. Social Development Network의 전신은'Social Development Unit'(SDU)이며 이후에 발족한 'Social Development Service'(SDS)를 흡수하여 2009년 Social Development Network로 재탄생했다. 출범 시 Social Development Network는 상업적 결혼대행기관들의 도움 없이 자체적으로 회원을 모집하고 조직적인 활동을 추진해오다가 2006년부터는 민간업체들에게 데이트와 중매 서비스 활동을 위임하고 프로젝트를 지원하는데 집중해왔다. 이 논문은 문헌분석을 활용하여 싱가포르 결혼장려정책의 지원주체로서 결혼에 관한 책임주의 이론적 관점에서 출범 이후 현재에 이르는 Social Development Network의 위상과 역할을 분석하고 동일한 사회적 경험을 하고 있는 한국에 의미 있는 시사점을 제시하는데 목적을 둔다.

• 보건교육건강증진학회지
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• 제19권2호
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• pp.73-98
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• 2002

This study was carried out to investigate the relationship between social support, social network and health behaviors as surveyed by cross-sectional study in 744 rural people aged above 30 of a community dwelling sample of one county for 6 days of July in 2000. Objectives of this study was in order to establish an effective health promotion. The sample was accrued by face to face interview of direct visiting from clustered sampling method. Interview was conducted by trained medical students with the questionnaire consisted of socio-demographic data, health behavior, social support and social network based on previous literature. The summarized results were as follows: 1. There were significant difference in the level of social support and social network by general characteristic variables except occupation and residency type(p〈0.05). 2. There were significant difference in knowledge about hypertension, smoking status, status of physical exercise, diet patterns by social support and social network in spite of variation of social support and social network subconcept(p〈0.05). And there were significant difference in alcohol drinking status, body weight control and diet pattern according to level of social network(p〈0.05). But smoking status by social support and network results opposite direction(p〈0.05). 3. There were no regular or consistent result in the relationship between social support, social network and health behavior. 4. Major predictors for health behavior on the multiple logistic regression that included general characteristic, social support and social network were age, instrumental social support and worry about health. Significant variables of multiple logistic regression for health behavior that included social support(instrumental and emotional) and social network were instrumental social support and social network. These results suggest that only a instrumental element and social network may be associated with health behavior. Inconsistent with prior research in these some item, a positive consistent relationship was not found between social support, social network and health behavior. So the study should be replicated to determined the reliability of our findings.

• 디지털산업정보학회논문지
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• 제11권1호
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• pp.47-57
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• 2015

Recently, Internet of Things (IoT) have become popular for research and development in many areas. IoT makes a new intelligent network between things, between things and persons, and between persons themselves. Social network service technology is in its infancy, but, it has many benefits. Adjacent users in a social network tend to trust each other more than random pairs of users in the network. In this paper, we propose recommendation technique using social network in Internet of Things environment. We study previous researches about information recommendation, IoT, and social IoT. We proposed SIoT_P(Social IoT Prediction) using social relationships and item-based collaborative filtering. Also, we proposed SR(Social Relationship) using four social relationships (Ownership Object Relationship, Co-Location Object Relationship, Social Object Relationship, Parental Object Relationship). We describe a recommendation scenario using our proposed method.

• 한국IT서비스학회지
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• 제13권2호
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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.

• 지식경영연구
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• 제14권1호
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• pp.21-37
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• 2013

Due to the development of social networks and smartphones, many different kinds of issues have emerged in business and society. By reflecting these trends, social network sites have appeared and they are recognized as the new concept of sites. The major feature of the social network sites is that the social relationship had been taken to the online space. Social network sites support the formation of a network and offer users the relationship between users offline as well as online. Based on the features mentioned above, users enjoy the benefits using social network sites. These social network sites in the enterprise can be used to form relationships with customers. This study identified the influencing factors as relational benefits and social influence on relationship commitment in social network sites. In addition, we analyzed that how the relationship commitment between users affects user loyalty after their using social network sites. We presented empirical results by utilizing structural equation model with 244 respondents and the significant implications for the academy and the practice with discussions.

• 디지털산업정보학회논문지
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• 제10권2호
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• pp.157-171
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• 2014

A organization of social enterprises is to achieve various goals such as private interests, the public nature, and social policy. For fulfilling these goals, we have to understand the various success factors. These success factors were shared among peoples. This study explored a position of structure of social network formed by success factors of Social Enterprises with importance. A position within social network defined a number of link connected other nodes. A position is closely associated with to individual's behaviors, opinions and thinking. We used social network analysis with two mode method for explaining feathers of structure of social network formed by success factors shared among peoples. We choose degree centrality for determining a position within social network. Centrality is a key measure in social network analysis. Results is that shared success factors are operation capital(15.15%) totally, and by Buying experience of products of Social Enterprises, Business Compliance(14.39%) and planning(12.88%), and by usage time of smart devices, Business Support(17.05%) and planning(16.10%). and the dominant success factor was not explored.

• Asia pacific journal of information systems
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• 제32권1호
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• pp.168-190
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• 2022

This review aims to synthesize social network theories by drawing on the importance of social network perspectives in understanding knowledge management with technology in organizations. I provide an overview of prior social network research with the following core ideas: the primacy of relations between organizational actors, the utility of actors' embeddedness in social fields, the social utility of network connections, and the structural patterning of social life. On top of that, I summarize critical social perspectives (the social capital theory, the structural hole theory, the embeddedness perspective, the social exchange theory, the organizational learning theory, and the innovation diffusion theory) to suggest potential research questions for future studies in social network research in the knowledge management discipline.

• 보건교육건강증진학회지
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• 제28권4호
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• pp.39-49
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• 2011

Objectives: This study was to examine the association between structural and functional characteristics of social network and self-rated health in middle-aged Korea population. We also explored gender difference in the relationship between social network and health. Methods: Data were collected from individuals aged 40-69 years old participating in the 2005 survey for the Korean Genome & Epidemiology Study. We examined the association between social network, social support, social conflict and self-rated health using multiple logistic regression analysis stratified by gender. Results: The extent and contact frequency of close people, and social participations were associated by not only the positive function but also the negative function of social network. Both the positive and negative functions of social network affected self-rated health. The relationship between the function of social network and health showed a gender difference: only positive function was significantly associated with health in men while only negative function had significant relationship with health in women. Conclusions: Social support and social conflict affected the health in both genders through different ways. The ambivalent effect of social network on health should be explored further.

• 디지털산업정보학회논문지
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• 제7권1호
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• pp.85-93
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• 2011

2010 trend of Web services is Social Network Service. What does Social Network Service are like this? What could really be used? I also take advantage of future can I do? To elicit answers to the question of Social Network Service and the overall status of the root is used in the case Learn about the current utilization plan after the proposed research. The use of practices being applied to Social Network Service, the three theories were derived positive and negative aspects. Research based on more than the utilization of Social Network Service to build a social safety net to take advantage and use of learning aids were divided into suggestions. Utilized for building a social safety net, and when the reported channel to channel, the use of learning aids to learning that one day, one-on learning by applying the proposed total of four kinds of utilization.

• 한국도서관정보학회지
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• 제39권2호
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• pp.169-186
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• 2008

소셜 네트워크는 온라인상의 인맥 기반 친목 서비스로 잘 알려져 있지만, 광의의 소셜 네트워크는 타인과 협력하고 정보를 공유하는 작업을 통해 생성된 관계 또는 이를 기반으로 생성된 데이터를 통해 웹을 정보생태계로 진화시키는 메커니즘으로 해석할 수 있다. 소셜 네트워크는 친목 기반의 연결의 장에서 관심사 기반의 사회적 관계망으로 확대되고 있으며, 비즈니스 교육 등 다양한 영역에서 적용되고 있다. 도서관 서비스 영역에서도 수요자의 정보교류 네트워크 형성에 소셜 네트워크의 개념과 철학을 적용하기 위해 관심을 보이기 시작하고 있다. 본 연구에서는 소셜 네트워크의 개념과 의의를 살펴보고 도서관 영역에서 어떻게 해석되어 응용이 시작되고 있는지 살펴본다. 또한 도서관 정보 수요자의 소셜 네트워크 활성화를 위한 지원 방안을 제안해 본다.