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

Abdul Razaque, Syed Rizvi, Meer Jaro khan, Muder Almiani, Amer Al Rahayfeh

Research output: Contribution to journalReview articlepeer-review

30 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1275-1294
Number of pages20
JournalJournal of King Saud University - Computer and Information Sciences
Volume34
Issue number1
DOIs
StatePublished - Jan 2022

All Science Journal Classification (ASJC) codes

  • General Computer Science

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