Evidence map›Paper›PMID 38620265›Full record

ReviewJournal of King Saud University. Computer and information sciences2022

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

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of King Saud University. Computer and information sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 57 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 4 countries.

Abdul RazaqueDepartment of Computer Engineering and Telecommunication, International IT University, Almaty, Kazakhstan.
Syed RizviInformation Sciences and Technology, The Pennsylvania State University, United States.
Meer Jaro KhanDepartment of Computer Science, National University of Modern Languages Pakistan.
Muder AlmianiComputer Information Systems, Al-Hussein Bin Talal University, Ma'an, Jordan.
Amer Al RahayfehComputer Information Systems, Al-Hussein Bin Talal University, Ma'an, Jordan.
Al-Hussein Bin Talal University · JOInternational Information Technologies University · KZNational University of Modern Languages · PKPennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

2D MeshCODA ModelHerd BehaviorIsing ModelScale Free NetworkSIR ModelSmall-World NetworkSznajd Model

Identifiers

PMID38620265
PMCPMC7148914
OpenAlexW2969979867

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.