Evidence map›Paper›PMID 34744546›Full record

ArticleJournal of applied mathematics & computing2022

Dynamics and control of delayed rumor propagation through social networks.

Moumita Ghosh, Samhita Das, Pritha Das

Abstract read
In one paragraph

Article in Journal of applied mathematics & computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. On a Model of Rumors Spreading Through Social Media.Entropy (Basel, Switzerland) · 2025
    Article
  3. 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

3 authors.

Moumita GhoshDepartment of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, 711103 India.ORCID 0000-0001-5859-3943
Samhita DasDepartment of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, 711103 India.
Pritha DasDepartment of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, 711103 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigation of rumor spread dynamics and its control in social networking sites (SNS) has become important as it may cause some serious negative effects on our society. Here we aim to study the rumor spread mechanism and the influential factors using epidemic like model. We have divided the total population into three groups, namely, ignorant, spreader and aware. We have used delay differential equations to describe the dynamics of rumor spread process and studied the stability of the steady-state solutions using the threshold value of influence which is analogous to the basic reproduction number in disease model. Global stability of rumor prevailing state has been proved by using Lyapunov function. An optimal control system is set up using media awareness campaign to minimize the spreader population and the corresponding cost. Hopf bifurcation analyses with respect to time delay and the transmission rate of rumors are discussed here both analytically and numerically. Moreover, we have derived the stability region of the system corresponding to change of transmission rate and delay values.

Indexed as

Hopf bifurcationLogistic growthOptimal controlSocial networking sites (SNS)Threshold value of influence

Identifiers

PMID34744546
PMCPMC8559145

What OpenQuestion holds

Textmetadata
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Registered trials

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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.