Public Procurement Fraud Detection: A Review Using Network Analysis

Marcos S. Lyra; Flávio L. Pinheiro; Fernando Bacao

doi:10.1007/978-3-030-93409-5_11

Public Procurement Fraud Detection: A Review Using Network Analysis

Marcos S. Lyra, Flávio L. Pinheiro, Fernando Bacao

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

353 Downloads (Pure)

Abstract

Public procurement fraud is a plague that produces significant economic losses in any state and society, but empirical studies to detect it in this area are still scarce. This article presents a review of the most recent literature on public procurement to identify techniques for fraud detection using Network Science. Applying the PRISMA methodology and using the Scopus and Web of Science repositories, we selected scientific articles and compared their results over a period from 2011 to 2021. Employing a compiled search string, we found cluster analysis and centrality measures as the most adopted techniques.

Original language	English
Title of host publication	Complex Networks & Their Applications X
Subtitle of host publication	Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 (Vol. 1)
Editors	Rosa Maria Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis M. Rocha, Marta Sales-Pardo
Publisher	Springer, Cham
Chapter	11
Pages	116-129
Number of pages	14
Volume	I
ISBN (Electronic)	978-3-030-93409-5
ISBN (Print)	978-3-030-93411-8
DOIs	https://doi.org/10.1007/978-3-030-93409-5_11
Publication status	Published - 1 Jan 2022
Event	10th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021) - Madrid, Spain Duration: 30 Nov 2021 → 2 Dec 2021 Conference number: 10th https://complexnetworks.org/

Publication series

Name	Studies in Computational Intelligence
Volume	1015
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	10th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021)
Abbreviated title	COMPLEX NETWORKS 2021
Country/Territory	Spain
City	Madrid
Period	30/11/21 → 2/12/21
Internet address	https://complexnetworks.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities
SDG 16 Peace, Justice and Strong Institutions

Keywords

Public procurement
Corruption
Network analysis
PRISMA

Access to Document

10.1007/978-3-030-93409-5_11

Public Procurement Fraud Detection review using Network AnalysisAccepted author manuscript, 1.15 MBLicence: CC BY-NC

https://link.springer.com/10.1007/978-3-030-93409-5_11

Cite this

Lyra, M. S., Pinheiro, F. L., & Bacao, F. (2022). Public Procurement Fraud Detection: A Review Using Network Analysis. In R. M. Benito, C. Cherifi, H. Cherifi, E. Moro, L. M. Rocha, & M. Sales-Pardo (Eds.), Complex Networks & Their Applications X: Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 (Vol. 1) (Vol. I, pp. 116-129). (Studies in Computational Intelligence; Vol. 1015). Springer, Cham. https://doi.org/10.1007/978-3-030-93409-5_11

Lyra, Marcos S. ; Pinheiro, Flávio L. ; Bacao, Fernando. / Public Procurement Fraud Detection : A Review Using Network Analysis. Complex Networks & Their Applications X: Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 (Vol. 1). editor / Rosa Maria Benito ; Chantal Cherifi ; Hocine Cherifi ; Esteban Moro ; Luis M. Rocha ; Marta Sales-Pardo. Vol. I Springer, Cham, 2022. pp. 116-129 (Studies in Computational Intelligence).

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title = "Public Procurement Fraud Detection: A Review Using Network Analysis",

abstract = "Public procurement fraud is a plague that produces significant economic losses in any state and society, but empirical studies to detect it in this area are still scarce. This article presents a review of the most recent literature on public procurement to identify techniques for fraud detection using Network Science. Applying the PRISMA methodology and using the Scopus and Web of Science repositories, we selected scientific articles and compared their results over a period from 2011 to 2021. Employing a compiled search string, we found cluster analysis and centrality measures as the most adopted techniques.",

keywords = "Public procurement, Corruption, Network analysis, PRISMA",

author = "Lyra, \{Marcos S.\} and Pinheiro, \{Fl{\'a}vio L.\} and Fernando Bacao",

note = "info:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA\%2FDS\%2F0116\%2F2019/PT\# https://doi.org/10.54499/DSAIPA/DS/0116/2019\# Lyra, M. S., Pinheiro, F. L., \& Bacao, F. (2022). Public Procurement Fraud Detection: A Review Using Network Analysis. In R. M. Benito, C. Cherifi, H. Cherifi, E. Moro, L. M. Rocha, \& M. Sales-Pardo (Eds.), Complex Networks \& Their Applications X: Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 (Vol. 1) (Vol. I, pp. 116-129). (Studies in Computational Intelligence; Vol. 1015). Springer, Cham. https://doi.org/10.1007/978-3-030-93409-5\_11 --- Funding Information: This research was funded by Funda{\c c}{\~a}o para a Ci{\^e}ncia e a Tecnologia (Portugal), grants? number DSAIPA/DS/0116/2019; 10th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021), COMPLEX NETWORKS 2021 ; Conference date: 30-11-2021 Through 02-12-2021",

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pages = "116--129",

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Lyra, MS , Pinheiro, FL & Bacao, F 2022, Public Procurement Fraud Detection: A Review Using Network Analysis. in RM Benito, C Cherifi, H Cherifi, E Moro, LM Rocha & M Sales-Pardo (eds), Complex Networks & Their Applications X: Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 (Vol. 1). vol. I, Studies in Computational Intelligence, vol. 1015, Springer, Cham, pp. 116-129, 10th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021), Madrid, Spain, 30/11/21. https://doi.org/10.1007/978-3-030-93409-5_11

Public Procurement Fraud Detection: A Review Using Network Analysis. / Lyra, Marcos S.; Pinheiro, Flávio L.; Bacao, Fernando.
Complex Networks & Their Applications X: Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 (Vol. 1). ed. / Rosa Maria Benito; Chantal Cherifi; Hocine Cherifi; Esteban Moro; Luis M. Rocha; Marta Sales-Pardo. Vol. I Springer, Cham, 2022. p. 116-129 (Studies in Computational Intelligence; Vol. 1015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Public Procurement Fraud Detection

T2 - 10th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021)

AU - Lyra, Marcos S.

AU - Pinheiro, Flávio L.

AU - Bacao, Fernando

N1 - Conference code: 10th

PY - 2022/1/1

Y1 - 2022/1/1

N2 - Public procurement fraud is a plague that produces significant economic losses in any state and society, but empirical studies to detect it in this area are still scarce. This article presents a review of the most recent literature on public procurement to identify techniques for fraud detection using Network Science. Applying the PRISMA methodology and using the Scopus and Web of Science repositories, we selected scientific articles and compared their results over a period from 2011 to 2021. Employing a compiled search string, we found cluster analysis and centrality measures as the most adopted techniques.

AB - Public procurement fraud is a plague that produces significant economic losses in any state and society, but empirical studies to detect it in this area are still scarce. This article presents a review of the most recent literature on public procurement to identify techniques for fraud detection using Network Science. Applying the PRISMA methodology and using the Scopus and Web of Science repositories, we selected scientific articles and compared their results over a period from 2011 to 2021. Employing a compiled search string, we found cluster analysis and centrality measures as the most adopted techniques.

KW - Public procurement

KW - Corruption

KW - Network analysis

KW - PRISMA

UR - https://www.scopus.com/pages/publications/85122514624

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000844516300011

U2 - 10.1007/978-3-030-93409-5_11

DO - 10.1007/978-3-030-93409-5_11

M3 - Conference contribution

SN - 978-3-030-93411-8

VL - I

T3 - Studies in Computational Intelligence

SP - 116

EP - 129

BT - Complex Networks & Their Applications X

A2 - Benito, Rosa Maria

A2 - Cherifi, Chantal

A2 - Cherifi, Hocine

A2 - Moro, Esteban

A2 - Rocha, Luis M.

A2 - Sales-Pardo, Marta

PB - Springer, Cham

Y2 - 30 November 2021 through 2 December 2021

ER -

Lyra MS , Pinheiro FL , Bacao F. Public Procurement Fraud Detection: A Review Using Network Analysis. In Benito RM, Cherifi C, Cherifi H, Moro E, Rocha LM, Sales-Pardo M, editors, Complex Networks & Their Applications X: Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 (Vol. 1). Vol. I. Springer, Cham. 2022. p. 116-129. (Studies in Computational Intelligence). doi: 10.1007/978-3-030-93409-5_11

Public Procurement Fraud Detection: A Review Using Network Analysis

Abstract

Publication series

Conference

UN SDGs

Keywords

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