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Complexity science approach to economic crime

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János Kertész and Johannes Wachs discuss how complexity science and network science are particularly useful for identifying and describing the hidden traces of economic misbehaviour such as fraud and corruption.

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References

  1. Heywood, P. M. & Rose, J. Close but no cigar: the measurement of corruption. J. Public Policy 34, 507–529 (2014).

    Article  Google Scholar 

  2. Wachs, J., Fazekas, M. & Kertész, J. Corruption risk in contracting markets: a network science perspective. Int. J. Data Sci. Anal. https://doi.org/10.1007/s41060-019-00204-1 (2020).

    Article  Google Scholar 

  3. Garcia-Bernardo, J., Fichtner, J., Takes, F. W. & Heemskerk, E. M. Uncovering offshore financial centers: conduits and sinks in the global corporate ownership network. Sci. Rep. 7, 6246 (2017).

    Article  ADS  Google Scholar 

  4. Andersen, J. A., Johannesen, N. & Rijkers, B. Elite capture of foreign aid, evidence from offshore bank accounts. World Bank Policy Research Working Paper, 9150 (2020).

  5. Ribeiro, H. V., Alves, L. G. A., Martins, A. F., Lenzi, E. K. & Perc, M. The dynamical structure of political corruption networks. J. Complex Netw. 6, 989–1003 (2018).

    Article  MathSciNet  Google Scholar 

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

    Article  Google Scholar 

  7. Wachs, J. & Kertész, J. A network approach to cartel detection in public auction markets. Sci. Rep. 9, 10818 (2019).

    Article  ADS  Google Scholar 

  8. Macy, M. W. & Willer, R. From factors to actors: computational sociology and agent-based modeling. Annu. Rev. Sociol. 28, 143–166 (2002).

    Article  Google Scholar 

  9. Arthur, W. B. Complexity and the economy. Science 284, 107–109 (1999).

    Article  ADS  Google Scholar 

  10. Battiston, S., Puliga, M., Kaushik, R., Tasca, P. & Caldarelli, G. DebtRank: too central to fail? Financial networks, the Fed and systemic risk. Sci. Rep. 2, 541 (2012).

    Article  ADS  Google Scholar 

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Acknowledgements

J.K. acknowledges support from the Hungarian Scientific Research Fund (OTKA K129124).

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Correspondence to János Kertész.

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Related links

The International Consortium of Investigative Journalists: The Panama Papers https://www.icij.org/investigations/panama-papers/

UN News: The costs of corruption https://news.un.org/en/story/2018/12/1027971

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Kertész, J., Wachs, J. Complexity science approach to economic crime. Nat Rev Phys 3, 70–71 (2021). https://doi.org/10.1038/s42254-020-0238-9

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