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Corruptomics

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Corruption Networks

Part of the book series: Understanding Complex Systems ((UCS))

Abstract

Corruption studies must evolve to match the complexity of the modern world. Here, we present three main problems in corruption analysis that need to be address: the complexity of the corruption phenomenon itself and its context, the complexity of the analytical description, and the complexity of the perspectives that different disciplines bring to the table. In this regard, we argue that the interdisciplinary framework of complex systems and network science represents a promising analytical approach to move forward in this endeavor. Furthermore, current research efforts in this direction indicate the dawn of a new interdisciplinary discipline for corruption studies.

Injustice anywhere is a threat to justice everywhere. We are caught in an inescapable network of mutuality, tied in a single garment of destiny. Whatever affects one directly, affects all indirectly.

–Martin Luther King Jr.

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References

  1. Balsa-Barreiro J, Vié A, Morales AJ, Cebrián M (2020) Deglobalization in a hyper-connected world. Palgrave Commun 6(1):1–4

    Article  Google Scholar 

  2. Bar-Yam Y (2004) Making things work: solving complex problems in a complex world. Knowl Ind

    Google Scholar 

  3. Barabási AL (2016) Network science. Cambridge University Press, Cambridge

    Google Scholar 

  4. Caldarelli G (2020) A perspective on complexity and networks science. J Phys: Complex 1(2):021001

    Google Scholar 

  5. Capraro V, Perc M (2018) Grand challenges in social physics: in pursuit of moral behavior. Front Phys 6:107

    Article  Google Scholar 

  6. Colliri T, Zhao L (2019) Analyzing the bills-voting dynamics and predicting corruption-convictions among Brazilian congressmen through temporal networks. Sci Rep 9(1):16754

    Article  ADS  Google Scholar 

  7. De Graaf G, Von Maravic P, Waagenar P (2010) The good cause: theoretical perspectives on corruption. Verlag Barbara Budrich

    Google Scholar 

  8. Eliassi-Rad T, Farrell H, Garcia D, Lewandowsky S, Palacios P, Ross D, Sornette D, Thébault K, Wiesner K (2020) What science can do for democracy: a complexity science approach. Human Soc Sci Commun 7(1):1–4

    Article  Google Scholar 

  9. Fazekas M, Wachs J (2020) Corruption and the network structure of public contracting markets across government change. Polit Govern 8(2):153–166

    Article  Google Scholar 

  10. Fierăscu SI (2017) The networked phenomenon of state capture. PhD thesis, Central European University

    Google Scholar 

  11. Garcia-Bedoya O, Granados O, Burgos JC (2020) Ai against money laundering networks: the Colombian case. J Money Laund Control

    Google Scholar 

  12. Helbing D (2013) Globally networked risks and how to respond. Nature 497(7447):51–59

    Article  ADS  Google Scholar 

  13. Helbing D, Brockmann D, Chadefaux T, Donnay K, Blanke U, Woolley-Meza O, Moussaid M, Johansson A, Krause J, Schutte S et al (2015) Saving human lives: what complexity science and information systems can contribute. J Stat Phys 158(3):735–781

    Article  ADS  MathSciNet  Google Scholar 

  14. Hough D (2017) Analysing corruption. Agenda Publishing Limited

    Google Scholar 

  15. Kertész J, Wachs J (2020) Complexity science approach to economic crime. Nat Rev Phys

    Google Scholar 

  16. Ladyman J, Wiesner K (2020) What is a complex system? Yale University Press

    Google Scholar 

  17. Luna-Pla I, Nicolás-Carlock J (2020) Corruption and complexity: a scientific framework for the analysis of corruption networks. Appl Netw Sci 5(1):13

    Article  Google Scholar 

  18. Mitchell M (2009) Complexity: a guided tour. Oxford University Press, Oxford

    Google Scholar 

  19. Mungiu-Pippidi A, Heywood PM (2020) A research agenda for studies of corruption. Edward Elgar Publishing

    Google Scholar 

  20. Ribeiro HV, Alves LGA, Martins AF, Lenzi EK, Perc M (2018) The dynamical structure of political corruption networks. J Complex Netw 6(6):989–1003

    Article  MathSciNet  Google Scholar 

  21. Rose-Ackerman S, Palifka BJ (2016) Corruption and government: causes, consequences, and reform. Cambridge University Press

    Google Scholar 

  22. Slingerland W (2018) Network corruption: when social capital becomes corrupted. Eleven International Publishing

    Google Scholar 

  23. Solimine PC (2020) Political corruption and the congestion of controllability in social networks. Appl Netw Sci 5(1):1–20

    Article  Google Scholar 

  24. Wachs J, Fazekas M, Kertész J (2020) Corruption risk in contracting markets: a network science perspective. Int J Data Sci Anal

    Google Scholar 

  25. Wachs J, Kertész J (2019) A network approach to cartel detection in public auction markets. Sci Rep 9(1):1–10

    Article  ADS  Google Scholar 

  26. Zumaya M, Guerrero R, Islas E, Pineda O, Gershenson C, Iñiguez G, Pineda C (2021) Identifying tax evasion in Mexico with tools from network science and machine learning. arXiv preprint arXiv:2104.13353

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Correspondence to José R. Nicolás-Carlock .

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Nicolás-Carlock, J.R., Luna-Pla, I. (2021). Corruptomics. In: Granados, O.M., Nicolás-Carlock, J.R. (eds) Corruption Networks. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-81484-7_9

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