Evidence map›Paper›PMID 41385558›Full record

ArticlePloS one2025

Tag-mediated effect on the dynamics of social influence.

Xiaochen He, Guanzhao Cheng, Jiali Lu

Abstract read
In one paragraph

Article in PloS one, 2025. 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

3 authors.

Xiaochen HeSchool of Public Policy and Administration of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Guanzhao ChengInstitutes of Science and Development, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0009-0001-9733-6998
Jiali LuPublic Policy & Management of Tsinghua University, Beijing, China.ORCID https://orcid.org/0000-0002-4705-0000

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamics of social influence carry significant sociological and economic implications and have been examined across various disciplines. However, the dynamics of social influence within tag-mediated systems remains underexplored. This study proposes a generalized networked urn model that incorporates tagging effects, extending current understandings of self-reinforcing and self-correcting mechanisms in social dynamics. Mathematical derivations show that tag-related parameters-the share of individuals with a given tag, the probability of being tag-driven, and the effect of tag difference-interact with social influence to shape convergence outcomes. Depending on context, tags can either reinforce early advantages or act as a corrective force that drives outcomes toward balance. Simulation results further indicate that tagging effects may weaken path dependence under certain conditions, reducing market inequality and improving predictability, while in other cases they may sustain disparities. These findings underscore the moderating role of tags in collective dynamics, offering theoretical insights into the social influence processes.

Indexed as

Models, TheoreticalSocial BehaviorHumans

Identifiers

PMID41385558
PMCPMC12700412

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.