2012 15th International Conference on Network-Based Information Systems 2012
DOI: 10.1109/nbis.2012.152
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Trust Management of Social Networks in Health Care

Abstract: The increasing development of health social networks (HSN) in recent years has led the fast growing of user-generated contents. People tend to interact and share health information in social networks. However, the trustworthiness of information is the major concern in shared health information in social networks. Viral rumor-spreading that can happen quite rapidly in social media can cause damages to health consumers. In this paper, we survey existing solutions that patients can use to gauge the trustworthines… Show more

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Cited by 9 publications
(3 citation statements)
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References 26 publications
(17 reference statements)
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“…There are several applications of this framework, such as stock market prediction with Twitter data [37]. Other examples include trust management in social networks [54], cloud computing [34,35], internet of things [36,38], healthcare [8,9], emergency communications [12], and detection of crime [24] and fake users [22].…”
Section: Related Workmentioning
confidence: 99%
“…There are several applications of this framework, such as stock market prediction with Twitter data [37]. Other examples include trust management in social networks [54], cloud computing [34,35], internet of things [36,38], healthcare [8,9], emergency communications [12], and detection of crime [24] and fake users [22].…”
Section: Related Workmentioning
confidence: 99%
“…Trust management is a key technique to provide security and privacy protection of medical information in healthcare social network. A comprehensive overview of different ways of evaluating trustworthiness of health information in healthcare social networks is presented (Chomphoosang, 2012). Two interesting questions for further study are raised: 1) Do online health social networks influence patients differently from physicians, and 2) Does social presence mediate the decision-making influence of online social networks differently for patients than for doctors?…”
Section: Trust-based Access Controlmentioning
confidence: 99%
“…Some of the applications of this framework include stock market analysis using Twitter data, trust management of Internet of Things, fake user detection, and crime predictions. [16,27,23,28,29,30,11,40,41,8,39,7,25,24,6,17].…”
Section: Introductionmentioning
confidence: 99%