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.
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This research was funded by “Fundação para a Ciência e a Tecnologia” (Portugal), grants’ number DSAIPA/DS/0116/2019
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Lyra, M.S., Pinheiro, F.L., Bacao, F. (2022). Public Procurement Fraud Detection: A Review Using Network Analysis. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications X. COMPLEX NETWORKS 2021. Studies in Computational Intelligence, vol 1072. Springer, Cham. https://doi.org/10.1007/978-3-030-93409-5_11
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