Evidence map›Paper›PMID 40269032›Full record

ArticleScientific reports2025

Structural roles and gender disparities in corruption networks.

Arthur A B Pessa, Alvaro F Martins, Mônica V Prates, Sebastian Gonçalves, Cristina Masoller, Matjaž Perc, Haroldo V Ribeiro

Abstract read
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Arthur A B PessaDepartamento de Física, Universidade Estadual de Maringá, Maringá, PR, 87020-900, Brazil.
Alvaro F MartinsDepartamento de Física, Universidade Estadual de Maringá, Maringá, PR, 87020-900, Brazil.
Mônica V PratesDepartamento de Física, Universidade Estadual de Maringá, Maringá, PR, 87020-900, Brazil.
Sebastian GonçalvesInstituto de Física, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil.
Cristina MasollerDepartament de Física, Universitat Politécnica de Catalunya, Rambla St. Nebridi 22, 08222, Terrassa, Barcelona, Spain.
Matjaž PercFaculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, 2000, Maribor, Slovenia. matjaz.perc@gmail.com.
Haroldo V RibeiroDepartamento de Física, Universidade Estadual de Maringá, Maringá, PR, 87020-900, Brazil. hvr@dfi.uem.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 303533/2021-8Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88881.516220/2020-01The Slovenian Research and Innovation Agency P1-0403 and N1-0232
6 · The paper itself

Abstract

Criminal activities are predominantly due to males, with females exhibiting a significantly lower involvement, especially in serious offenses. This pattern extends to organized crime, where females are often perceived as less tolerant to illegal practices. However, the roles of males and females within corruption networks are less understood. Here, we analyze data from political scandals in Brazil and Spain to shed light on gender differences in corruption networks. Our findings reveal that females constitute 10% and 20% of all agents in the Brazilian and Spanish corruption networks, respectively, with these proportions remaining stable over time and across different scandal sizes. Despite this disparity in representation, centrality measures are comparable between genders, except among highly central individuals, for which males are further overrepresented. Additionally, gender has no significant impact on network resilience, whether through random dismantling or targeted attacks on the largest component. Males are more likely to be involved in multiple scandals than females, and scandals predominantly involving females are rare, though these differences are explained by a null network model in which gender is randomly assigned while maintaining gender proportions. Our results further reveal that the underrepresentation of females partially explains gender homophily in network associations, although in the Spanish network, male-to-male connections exceed expectations derived from a null model.

Indexed as

CrimeBrazilFemaleHumansMaleSex FactorsSpain

Identifiers

PMID40269032
PMCPMC12019566

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.