• Journal of Information Technology Applications and Management
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• 제20권4호
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• pp.191-205
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• 2013

Recently, the topic of predicting interpersonal trust in online social networks is receiving considerable attention, because trust plays a critical role in controlling the spread of distorted information and vicious rumors, as well as reducing uncertainties and risk from unreliable users in social networks. Several trust prediction models have been developed on the basis of transitivity and composability properties of trust; however, it is hard to find empirical studies on whether and how transitivity and composability properties of trust are operated in real online social networks. This study aims to predict interpersonal trust between two unknown users in social networks and verify the proposition on whether and how transitivity and composability of trust are operated in social networks. For this purpose, we chose three social network sites called FilmTrust, Advogato, and Epinion, which contain explicit trust information by their users, and we empirically investigated the proposition. Experimental results showed that trust can be propagated farther and farther along the trust link; however, when path distance becomes distant, the accuracy of trust prediction lowers because noise is activated in the process of trust propagation. Also, the composability property of trust is operated as we expected in real social networks. However, contrary to our expectations, when the path is synthesized more during the trust prediction, the reliability of predicted trust did not tend to increase gradually.

• 한국사회복지학
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• 제64권2호
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• pp.159-183
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• 2012

본 연구는 결혼이주여성의 사회적 연결망이 어떤 구조적 특성을 지니며, 이런 특성에 따라 사회적 연결망이 제공하는 사회적 지지의 유형이 다르게 나타나는지를 분석하고자 하였다. 또한 결혼이주여성을 사회적 지지를 받는 대상으로서 뿐만 아니라, 지지를 제공하는 주체로서 인식하고 도움을 받는 연결망과 주는 연결망이 차이를 보이는지를 살펴보았다. 본 연구는 눈덩이표집방식을 통해 표집한 결혼 이주여성 53명의 자아중심적 연결망 분석을 수행하였다. 분석결과 결혼이주여성은 사회적 연결망을 통해 사회적 지지를 주고받았으며, 연결망내에 중복되지 않는 다양한 연계를 갖는 경우 사회적 지지를 더 많이 받았다. 본 연구는 결혼이주여성의 사회적 연결망의 구조적 특성과 사회적 지지 유형간의 관계에 대한 분석기반을 마련하였다는데 의의가 있다.

• The Journal of Asian Finance, Economics and Business
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• 제8권12호
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• pp.223-231
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• 2021

The study aimed to investigate the impact of social networks safety (SNS) on the marketing information quality (MIQ) during the COVID-19 pandemic in Saudi Arabia. The study examines the statistical differences in social networks safety SNS and marketing information quality MIQ according to the demographics such as age, sex, income, and education. For this study purpose, information security and privacy are two components of social networks safety. The research materials are website resources, regular books, journals, and articles. The population includes all Saudi users of social networks. The figures show that active users of the social network reached 25 Million in 2020. The snowball method was used and sample size is 500 respondents and the questionnaire is the tool for the data collection. The Structural Equation Modelling SEM technique is used. Convergent Validity, Discriminate Validity, and Multicollinearity are the main assumptions of structural equation modeling SEM. The findings show the high positive impact of SNS networks safety on MIQ and the statistical differences in such variables refer to education. Finally, the study presents a set of future suggestions to enhance the safety of social networks in Saudi Arabia.

• 보건의료산업학회지
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• 제7권3호
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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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• 제9권1호
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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.

• 한국시스템다이내믹스연구
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• 제17권1호
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• pp.41-64
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• 2016

The purpose of this paper is to explore causal relationship between social capital and firm's performance using systems thinking analysis. In strategic networks, the relationship between the members is an important factor affecting the performance. For this reason, we study relationship between social capital and firm's performance on strategic networks. The results show: Firstly, as presented in the existing research, trust and performance are positive relationship(+) and verify the entire system on strategic networks. Secondly, due to exclusiveness and embeddedness of social capital, there is nonlinear relationship between social capital and the firm's performance. Thirdly, the key factor of firm's performance on strategic networks verify relationship dependency and trust.

• 보건의료산업학회지
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• 제8권4호
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• pp.243-255
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• 2014

We examined the minimization effects of a subjective sense of poverty by social networks for urban workers and the mediating effects. The purposes of this study are to draw up measures and provide implications in community health care by gender. The findings are as follows: First, differences in understanding a subjective sense of poverty have been generated by demographic socio-economic characteristics according to gender. Second, differences in perception of the subjective sense of poverty have been generated by types of social networks according to the gender. Third, differences in types of social networks have been generated by gender. Fourth, differences in mediating effects of the types of social networks influencing a subjective sense of poverty have been generated by gender. We provide effective methods in community health care by analyzing these examinations.

• 유통과학연구
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• 제14권9호
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• pp.31-45
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• 2016

Purpose - This study develops a simulation model that looks at the dynamics between social capital and business performance in strategic networks to understand their behaviors in relation to each other, and to suggest dynamic relationship strategies. Research design, data, and methodology - Based on existing literature, this study identifies the complex causal loop diagram on social capital and business performance in strategic networks, and converts them into a simulation model for observing how the changes in business environment and relationship dependency affect social capital and business performance. Results - The simulation results showed that, first, the formation in social capital and business performance of networks with low relationship dependency was less affected by the changes in business environment. Second, the formation in social capital and business performance of networks with high relationship dependency was negatively impacted by the changes in business environment. In other words, higher relationship dependency strengthened the impact of changes in business environment on business performance. Conclusions - Thus, this study confirmed that in strategic networks, the changes in business environment and the degree of relationship dependency dynamically affect business performance, and that relationship dependency mediates the degree in which changes in the business environment affect business performance. The results of the simulations were further verified through actual business cases.

• 기술혁신학회지
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• 제3권2호
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• pp.33-47
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• 2000

We focus on the investigations of the effect of social networks on the diffusion of innovations, in order to successfully bring innovations into markets. We begin with consideration of social system from Rogers(1995)' perspective, which includes the fifty-year sequential tradition of diffusion studies, and expand the conceptualization into a framework for thinking about the effect of social networks on the diffusion of innovations. We draw upon basic ideas from the research traditions of social network theory in sociology, and social identity theory in social psychology. Finally, we offer propositions for the future empirical researches. A better understanding of social networks can complement research on the diffusion of innovations and help in the development of a universal model of consumer response to innovations.

• Asian Pacific Journal of Cancer Prevention
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• 제17권3호
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• pp.933-936
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• 2016

Online social network technologies have become important to health and apply in most health care areas. Particularly in cancer care, because it is a disease which involves many social aspects, online social networks can be very useful. Use of online social networks provides a suitable platform for cancer patients and families to present and share information about their medical conditions, address their educational needs, support decision making, and help to coping with their disease and improve their own outcomes. Like any other new technologies, online social networks, along with many benefits, have some negative effects such as violation of privacy and publication of incorrect information. However, if these effects are managed properly, they can empower patients to manage cancer through changing behavioral patterns and enhancing the quality of cancer patients lives This paper explains some application of online social networks in the cancer patient care process. It also covers advantages and disadvantages of related technologies.