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

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...

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Autores principales: Razaque, Abdul, Rizvi, Syed, khan, Meer Jaro, Almiani, Muder, Rahayfeh, Amer Al
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by King Saud University. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148914/
http://dx.doi.org/10.1016/j.jksuci.2019.08.008
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author Razaque, Abdul
Rizvi, Syed
khan, Meer Jaro
Almiani, Muder
Rahayfeh, Amer Al
author_facet Razaque, Abdul
Rizvi, Syed
khan, Meer Jaro
Almiani, Muder
Rahayfeh, Amer Al
author_sort Razaque, Abdul
collection PubMed
description 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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spelling pubmed-71489142020-04-13 State-of-art review of information diffusion models and their impact on social network vulnerabilities Razaque, Abdul Rizvi, Syed khan, Meer Jaro Almiani, Muder Rahayfeh, Amer Al Journal of King Saud University - Computer and Information Sciences Article 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. The Authors. Published by King Saud University. 2022-01 2019-08-23 /pmc/articles/PMC7148914/ http://dx.doi.org/10.1016/j.jksuci.2019.08.008 Text en © 2019 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Razaque, Abdul
Rizvi, Syed
khan, Meer Jaro
Almiani, Muder
Rahayfeh, Amer Al
State-of-art review of information diffusion models and their impact on social network vulnerabilities
title State-of-art review of information diffusion models and their impact on social network vulnerabilities
title_full State-of-art review of information diffusion models and their impact on social network vulnerabilities
title_fullStr State-of-art review of information diffusion models and their impact on social network vulnerabilities
title_full_unstemmed State-of-art review of information diffusion models and their impact on social network vulnerabilities
title_short State-of-art review of information diffusion models and their impact on social network vulnerabilities
title_sort state-of-art review of information diffusion models and their impact on social network vulnerabilities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148914/
http://dx.doi.org/10.1016/j.jksuci.2019.08.008
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