Evidence map›Paper›PMID 40011504›Full record

ArticleScientific reports2025

An online game spread model combining key nodes in scale-free networks.

Zongzhao Han, Qian Yu, Qingfeng Chen, Naixu He

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

4 authors.

Zongzhao HanSchool of Computer, Electronics and Information, Guangxi University, Nanning, 530004, China. hzh2023@st.gxu.edu.cn.
Qian YuSchool of Computer, Electronics and Information, Guangxi University, Nanning, 530004, China.
Qingfeng ChenSchool of Computer, Electronics and Information, Guangxi University, Nanning, 530004, China.
Naixu HeSchool of Computer, Electronics and Information, Guangxi University, Nanning, 530004, China.

Funding

National Natural Science Foundation of China 61963004Natural Science Foundation of Guangxi Province 2020GXNSFAA159074
6 · The paper itself

Abstract

Research indicates that online game addiction can result in health-damaging disorders and propagate via social interactions. This paper presents a GPAE model for online game spread on a scale-free network, incorporating key nodes. The model assesses local impact via node degree distribution and global impact through collective node influence. We obtain the basic reproduction number [Formula: see text] and equilibrium points. When [Formula: see text], the model exhibits a stable state with no players, and for [Formula: see text], a unique positive equilibrium point emerges, leading to a persistent spread of online game addiction. Numerical simulations and real-world data validate the model, offering enhanced understanding of the spread dynamics of game addiction in complex networks.

Indexed as

Equilibrium point stabilityGame addictionMobile gamesScale-free networkSpread prediction

Identifiers

PMID40011504
PMCPMC11865610

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.