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Characterization of the Firm-Firm Public Procurement Co-Bidding Network from the State of Ceará (Brazil) Municipalities

dc.contributor.authorLyra, Marcos da Silva
dc.contributor.authorCurado, António
dc.contributor.authorDamásio, Bruno
dc.contributor.authorBação, Fernando
dc.contributor.authorPinheiro, Flávio L.
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.pblSpringer Nature
dc.date.accessioned2021-10-22T03:43:38Z
dc.date.available2021-10-22T03:43:38Z
dc.date.issued2021-12-01
dc.descriptionLyra, M. D. S., Curado, A., Damásio, B., Bação, F., & Pinheiro, F. L. (2021). Characterization of the Firm-Firm Public Procurement Co-Bidding Network from the State of Ceará (Brazil) Municipalities. Applied Network Science, 6, 1-10. [77]. https://doi.org/10.1007/s41109-021-00418-y --- Funding Information: MSL was financially supported by Tribunal de Contas do Estado do Ceará through a Phd scholarship. BD, FLP, and FB acknowledge the financial support provided by FCT Portugal under the project UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC). FB and FLP acknowledge the financial support provided by FCT Portugal under the project DSAIPA/DS/0116/2019.
dc.description.abstractFraud in public funding can have deleterious consequences for societies’ economic, social, and political well-being. Fraudulent activity associated with public procurement contracts accounts for losses of billions of euros every year. Thus, it is of utmost relevance to explore analytical frameworks that can help public authorities identify agents that are more susceptible to irregular activities. Here, we use standard network science methods to study the co-bidding relationships between firms that participate in public tenders issued by the 184 municipalities of the State of Ceará (Brazil) between 2015 and 2019. We identify 22 groups/communities of firms with similar patterns of procurement activity, defined by their geographic and activity scopes. The profiling of the communities allows us to highlight organizations that are more susceptible to market manipulation and irregular activities. Our work reinforces the potential application of network analysis in policy to unfold the complex nature of relationships between market agents in a scenario of scarce data.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent10
dc.format.extent1831705
dc.identifier.doi10.1007/s41109-021-00418-y
dc.identifier.issn2364-8228
dc.identifier.otherPURE: 34363105
dc.identifier.otherPURE UUID: 5ce143f5-77de-451c-a7be-79ca474410f5
dc.identifier.otherScopus: 85117305909
dc.identifier.otherWOS: 000707579700001
dc.identifier.otherORCID: /0000-0002-0561-9641/work/92872657
dc.identifier.otherORCID: /0000-0002-0834-0275/work/153306418
dc.identifier.urihttp://hdl.handle.net/10362/126499
dc.identifier.urlhttps://figshare.com/s/0366318e1c881f5a2ce0
dc.identifier.urlhttps://www.scopus.com/pages/publications/85117305909
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:000707579700001
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0116%2F2019/PT
dc.relationhttps://doi.org/10.54499/DSAIPA/DS/0116/2019
dc.subjectBrazil
dc.subjectCo-bidding network
dc.subjectData mining
dc.subjectNetwork analysis
dc.subjectPublic procurement
dc.subjectGeneral
dc.subjectComputer Networks and Communications
dc.subjectComputational Mathematics
dc.subjectSDG 16 - Peace, Justice and Strong Institutions
dc.titleCharacterization of the Firm-Firm Public Procurement Co-Bidding Network from the State of Ceará (Brazil) Municipalitiesen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issue1
degois.publication.lastPage10
degois.publication.titleApplied Network Science
degois.publication.volume6
dspace.entity.typePublication
oaire.awardNumberDSAIPA/DS/0116/2019
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0116%2F2019/PT
oaire.fundingStream3599-PPCDT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublicatione5e5677d-82ea-434e-ab8a-50e65b226fbf
relation.isProjectOfPublication.latestForDiscoverye5e5677d-82ea-434e-ab8a-50e65b226fbf

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