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State-of-art review of information diffusion models and their impact on social network vulnerabilities
Author(s) -
Abdul Razaque,
Syed A. Rizvi,
Meer Jaro Khan,
Muder Almiani,
Amer Al Rahayfeh
Publication year - 2019
Publication title -
journal of king saud university - computer and information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 33
eISSN - 2213-1248
pISSN - 1319-1578
DOI - 10.1016/j.jksuci.2019.08.008
Subject(s) - computer science , data science , the internet , categorization , diffusion , strengths and weaknesses , stochastic game , social network (sociolinguistics) , social media , management science , world wide web , artificial intelligence , engineering , philosophy , physics , mathematics , mathematical economics , epistemology , thermodynamics
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.

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