Evidence map›Paper›PMID 33562366›Full record

ArticleHealthcare (Basel, Switzerland)2021

Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity.

Tinggui Chen, Jingtao Rong, Jianjun Yang, Guodong Cong, Gongfa Li

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  12. Genetic Algorithm-Based Trajectory Optimization for Digital Twin Robots.Frontiers in bioengineering and biotechnology · 2021
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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.

Tinggui ChenSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.ORCID 0000-0001-6061-2517
Jingtao RongSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.
Jianjun YangDepartment of Computer Science and Information Systems, University of North Georgia, Oakwood, GA 30566, USA.
Guodong CongSchool of Tourism and Urban-Rural Planning, Zhejiang Gongshang University, Hangzhou 310018, China.
Gongfa LiHubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.ORCID 0000-0002-2695-2742

Funding

Contemporary Business and Trade Research Center and Center for Collaborative Innovation Studies of Modern Business of Zhejiang Gongshang University of China 14SMXY05YBHubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering MECOF2020B03National Social Science Foundation of China 20BTQ059
6 · The paper itself

Abstract

The wide dissemination of false information and the frequent occurrence of extreme speeches on online social platforms have become increasingly prominent, which impact on the harmony and stability of society. In order to solve the problems in the dissemination and polarization of public opinion over online social platforms, it is necessary to conduct in-depth research on the formation mechanism of the dissemination and polarization of public opinion. This article appends individual communicating willingness and forgetting effects to the Susceptible-Exposed-Infected-Recovered (SEIR) model to describe individual state transitions; secondly, it introduces three heterogeneous factors describing the characteristics of individual differences in the Jager-Amblard (J-A) model, namely: Individual conformity, individual conservative degree, and inter-individual relationship strength in order to reflect the different roles of individual heterogeneity in the opinions interaction; thirdly, it integrates the improved SEIR model and J-A model to construct the SEIR-JA model to study the formation mechanism of public opinion dissemination and polarization. Transmission parameters and polarization parameters are simulated and analyzed. Finally, a public opinion event from the pricing of China's self-developed COVID-19 vaccine are used, and related Weibo comment data about this event are also collected so as to verify the rationality and effectiveness of the proposed model.

Indexed as

individual heterogeneityJ-A modelpublic opinion disseminationpublic opinion polarizationSEIR model

Identifiers

PMID33562366
PMCPMC7915404

What OpenQuestion holds

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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.