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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by King Saud University.
2022
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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. |
format | Online Article Text |
id | pubmed-7148914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by King Saud University. |
record_format | MEDLINE/PubMed |
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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