State-of-art review of information diffusion models and their impact on social network vulnerabilities

Razaque A. Rizvi S. khan M.J. Almiani M. Rahayfeh A.A.
January 2022 King Saud bin Abdulaziz University

Journal of King Saud University - Computer and Information Sciences
2022 #34 Issue 1 1275 - 1294 pp.

With the development of information society and network technology, people increasingly depend on information found on the Internet. At the same time, the models of information diffusion on the Internet are changing as well. However, these models experience the problem due to the fast development of network technologies. There is no thorough research in regards to the latest models and their applications and advantages. As a result, it is essential to have a comprehensive study of information diffusion models. The primary goal of this research is to provide a comparative study on the existing models such as the Ising model, Sznajd model, SIR model, SICR model, Game theory and social networking services models. We discuss several of their applications with the existing limitations and further categorizations. Vulnerabilities and privacy challenges of information diffusion models are extensively explored. Furthermore, categorization including strengths and weaknesses are discussed. Finally, limitations and recommendations are suggested with diverse solutions for the improvement of the information diffusion models and envisioned future research directions.

2D Mesh , CODA Model , Herd Behavior , Ising Model , Scale Free Network , SIR Model , Small-World Network , Sznajd Model

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Department of Computer Engineering and Telecommunication, International IT University, Almaty, Kazakhstan
Information Sciences and Technology, The Pennsylvania State University, United States
Department of Computer Science, National University of Modern Languages, Pakistan
Computer Information Systems, Al-Hussein Bin Talal University, Maan, Jordan

Department of Computer Engineering and Telecommunication
Information Sciences and Technology
Department of Computer Science
Computer Information Systems

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