Evidence map›Paper›PMID 42195852›Full record

ArticleFoods (Basel, Switzerland)2026

Evolution and Vulnerability of the Global Ready-to-Eat Aquatic Products Trade Network: A Complex Network Analysis.

Xiaonan Fan, Shenghui Sun, Lixin Zheng, Yang Liu, Weihua Yang, Dongmei Li

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. 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

6 authors.

Xiaonan FanSchool of Management, Dalian Polytechnic University, Dalian 116034, China.
Shenghui SunSchool of Management, Dalian Polytechnic University, Dalian 116034, China.
Lixin ZhengSchool of Management, Dalian Polytechnic University, Dalian 116034, China.
Yang LiuNational Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.ORCID 0000-0002-8918-1666
Weihua YangSchool of Management, Dalian Polytechnic University, Dalian 116034, China.
Dongmei LiNational Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.

Funding

The Fundamental Research Funds for the Provincial Universities of Liaoning LJ112410152065
6 · The paper itself

Abstract

Against the background of increasing complexity in global aquatic food supply chains and rising trade risks, the structural stability and vulnerability of ready-to-eat Aquatic Products trade networks have become increasingly prominent. This study applies complex network analysis to examine the evolution and vulnerability of the overall trade network and its subnetworks. The results show that (1) the overall trade network exhibits significant small-world characteristics; (2) the core countries in the network are China, the United States, Thailand, France, and Spain, which play dominant roles; (3) the community structure of the overall network is clearer, with stronger intra-community trade links; (4) all subnetworks also exhibit small-world properties, and different categories of ready-to-eat Aquatic Products have different core countries; (5) vulnerability analysis shows that the network is sensitive to targeted attacks, non-fish subnetworks are more vulnerable, while fish subnetworks are more stable. These findings provide practical guidance for procurement decisions, supply chain configuration, and risk management in the ready-to-eat Aquatic Products industry.

Indexed as

complex networksglobal ready-to-eat Aquatic Productsnetwork evolutiontrade networksvulnerability

Identifiers

PMID42195852
PMCPMC13205460

What OpenQuestion holds

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LicenceCC BY
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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.