Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Detecting Evidence of Fraud in the Brazilian Government Using Graph Databases

  • Conference paper
  • First Online:
Recent Advances in Information Systems and Technologies (WorldCIST 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 570))

Included in the following conference series:

Abstract

In the International Monetary Funding Staff Discussion Note No. 16/05 of May 11/2016, corruption was cited as one of the “most important problems facing the world today”. This prompted agencies around the world to step up efforts on finding techniques to combat corruption in various contexts, such as fraud in government procurement processes. This type of fraud is usually orchestrated by groups of companies that manipulate competition so that processes are awarded to predetermined companies. Given this scenario, finding relationships between companies from linking information, such as partners or telephones, is essential to gathering evidence that can expose how the criminal activity is organized and carried out. Since relationships can be modeled as a network, graph databases prove to be an appropriate tool in finding these links. This paper presents a study on using graph databases to identify evidence of fraud in procurement processes. Firstly, the scope of the research and the model used are presented, and subsequently the queries and their results are shown and discussed, indicating possibles evidence of fraud in the real dataset.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    http://www.cgu.gov.br.

  2. 2.

    http://www.investopedia.com/terms/c/collusion.asp.

  3. 3.

    https://neo4j.com/.

  4. 4.

    http://titan.thinkaurelius.com/.

  5. 5.

    https://neo4j.com/blog/analyzing-panama-papers-neo4j/.

  6. 6.

    http://compras.dados.gov.br/docs/home.html.

  7. 7.

    https://neo4j.com/docs/developer-manual/current/cypher/.

References

  1. Angles, R.: A comparison of current graph database models. In: 2012 IEEE 28th International Conference on Data Engineering Workshops (ICDEW), pp. 171–177, April 2012

    Google Scholar 

  2. Arora, K., Bhargava, D.S., Srivastava, A.: GMT (Graph Mining Techniques) for crime detection, comparison with the proposed algorithm. Int. J. Adv. Res. Comput. Sci. Electron. Eng. (IJARCSEE) 3(2), 108–112 (2014)

    Google Scholar 

  3. Batagelj, V., Mrvar, A.: Pajek - analysis and visualization of large networks. In: Jünger, M., Mutzel, P. (eds.) Graph Drawing Software, pp. 77–103. Springer, Heidelberg (2004)

    Google Scholar 

  4. Branting, L.K., Reeder, F., Gold, J., Champney, T.: Graph analytics for healthcare fraud risk estimation. In: 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 845–851, August 2016

    Google Scholar 

  5. Carvalho, R.N., Laskey, K.B., Costa, P.C.D.: Uncertainty modeling process for semantic technology. PeerJ Comput. Sci. 2, e77 (2016)

    Article  Google Scholar 

  6. Cheong, T.-M., Si, Y.-W.: Event-based approach to money laundering data analysis and visualization. In: Proceedings of the 3rd International Symposium on Visual Information Communication, VINCI 2010, pp. 21:1–21:11. ACM, New York (2010)

    Google Scholar 

  7. van Erven, G.C.G.: MDG-NoSQL: modelo de dados para bancos NoSQL baseados em grafos, December 2015

    Google Scholar 

  8. Frizzo, H., Oliveira, P.: PLC - Public procurement in Brazil: overview, October 2014

    Google Scholar 

  9. van der Hulst, R.C.: Introduction to Social Network Analysis (SNA) as an investigative tool. Trends Organized Crime 12(2), 101–121 (2009)

    Google Scholar 

  10. McIllwain, J.S.: Organized crime: a social network approach. Crime Law Soc. Change 32(4), 301–323 (1999)

    Article  Google Scholar 

  11. Pandit, S., Chau, D.H., Wang, S., Faloutsos, C.: Netprobe: a fast and scalable system for fraud detection in online auction networks. In: Proceedings of the 16th International Conference on World Wide Web, WWW 2007, pp. 201–210. ACM, New York (2007)

    Google Scholar 

  12. Sparrow, M.K.: The application of network analysis to criminal intelligence: an assessment of the prospects. Soc. Netw. 13(3), 251–274 (1991)

    Article  Google Scholar 

  13. Srinivasa. S.: Data, storage and index models for graph databases. In: Sakr, S., Pardede, E. (eds.) Graph Data Management, pp. 47–70. IGI Global (2011)

    Google Scholar 

  14. Xu, J., Chen, H.: Criminal network analysis and visualization. Commun. ACM 48(6), 100–107 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Research and Strategic Information (DIE), Ministry of Transparency, Supervision and Office of the Comptroller General (CGU), Brasília, Brazil

    Gustavo C. G. van Erven & Rommel N. Carvalho

  2. Department of Computer Science (CIC), University of Brasília (UnB), Brasília, Brazil

    Maristela Holanda & Rommel N. Carvalho

Authors
  1. Gustavo C. G. van Erven
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Maristela Holanda
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rommel N. Carvalho
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Maristela Holanda .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Baixo Mondego, Portugal

    Álvaro Rocha

  2. Nova IMS, Universidade Nova de Lisboa, Lisboa, Portugal

    Ana Maria Correia

  3. College of Engineering, The Ohio State University, Columbus, Ohio, USA

    Hojjat Adeli

  4. DSI/EEUM, Universidade do Minho, Guimarães, Portugal

    Luís Paulo Reis

  5. DIMES, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

van Erven, G.C.G., Holanda, M., Carvalho, R.N. (2017). Detecting Evidence of Fraud in the Brazilian Government Using Graph Databases. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-319-56538-5_47

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-56538-5_47

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56537-8

  • Online ISBN: 978-3-319-56538-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation