Evidence map›Paper›PMID 38781238›Full record

ArticlePloS one2024

Dynamic analysis and optimal control of stochastic information cross-dissemination and variation model with random parametric perturbations.

Sida Kang, Tianhao Liu, Hongyu Liu, Yuhan Hu, Xilin Hou

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sida KangSchool of Business Administration, University of Science and Technology Liaoning, Anshan, Liaoning, China.
Tianhao LiuAsia-Australia Business College, Liaoning University, Shenyang, Liaoning, China.
Hongyu LiuSchool of Business Administration, University of Science and Technology Liaoning, Anshan, Liaoning, China.ORCID 0009-0009-4937-2335
Yuhan HuSchool of Science, University of Science and Technology Liaoning, Anshan, Liaoning, China.ORCID 0000-0003-3075-8456
Xilin HouSchool of Business Administration, University of Science and Technology Liaoning, Anshan, Liaoning, China.ORCID 0000-0002-9980-2876

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information dissemination has a significant impact on social development. This paper considers that there are many stochastic factors in the social system, which will result in the phenomena of information cross-dissemination and variation. The dual-system stochastic susceptible-infectious-mutant-recovered model of information cross-dissemination and variation is derived from this problem. Afterward, the existence of the global positive solution is demonstrated, sufficient conditions for the disappearance of information and its stationary distribution are calculated, and the optimal control strategy for the stochastic model is proposed. The numerical simulation supports the results of the theoretical analysis and is compared to the parameter variation of the deterministic model. The results demonstrate that cross-dissemination of information can result in information variation and diffusion. Meanwhile, white noise has a positive effect on information dissemination, which can be improved by adjusting the perturbation parameters.

Indexed as

Information DisseminationStochastic ProcessesComputer SimulationHumansModels, Theoretical

Identifiers

PMID38781238
PMCPMC11115323

What OpenQuestion holds

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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.