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 trustworthiness of health information on HSNs. We conclude with thoughts on the future research in the area of trust of HSNs.

Trustworthy Acceptance: A New Metric for Trustworthy Artificial Intelligence Used in Decision Making in Food–Energy–Water Sectors

“…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].…”

Control Theoretical Modeling of Trust-Based Decision Making in Food-Energy-Water Management

“…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].…”