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Who's Who in Crime Networks: Wanted - The Key Player

Author

Listed:
  • Zenou, Yves
  • Calvó-Armengol, Antoni
  • Ballester, Coralio

Abstract

Criminals are embedded in a network of relationships. Social ties among criminals are modelled by means of a graph where criminals compete for a bounty and benefit from local interactions with their neighbours. Each criminal decides in a non-cooperative way how much crime effort they will exert. We show that the Nash equilibrium crime effort of each individual is proportional to their equilibrium Bonacich-centrality in the network, thus establishing a bridge to the sociology literature on social networks. We then analyse a policy that consists of finding and getting rid of the key player, that is, the criminal who, once removed, leads to the maximum reduction in aggregate crime. We provide a geometric characterization of the key player identified with an optimal inter-centrality measure, which takes into account both a player?s centrality and their contribution to the centrality of the others. We also provide a geometric characterization of the key group, which generalizes the key player for a group of criminals of a given size. We finally endogeneize the crime participation decision, resulting in a key player policy, which effectiveness depends on the outside opportunities available to criminals.

Suggested Citation

  • Zenou, Yves & Calvó-Armengol, Antoni & Ballester, Coralio, 2004. "Who's Who in Crime Networks: Wanted - The Key Player," CEPR Discussion Papers 4421, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:4421
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    Cited by:

    1. Sergio Currarini, & Elena Fumagalli & Fabrizio Panebianco, 2012. "Games on Networks: Direct Complements and Indirect Substitutes," Discussion Papers in Economics 13/04, Division of Economics, School of Business, University of Leicester.
    2. Chien-Hsiang Yeh, 2022. "Uniqueness of Equilibria in Interactive Networks," Papers 2206.00158, arXiv.org.
    3. Jan K. Brueckner & Oleg Smirnov, 2007. "Workings Of The Melting Pot: Social Networks And The Evolution Of Population Attributes," Journal of Regional Science, Wiley Blackwell, vol. 47(2), pages 209-228, May.
    4. Calvo-Armengol, Antoni & Verdier, Thierry & Zenou, Yves, 2007. "Strong and weak ties in employment and crime," Journal of Public Economics, Elsevier, vol. 91(1-2), pages 203-233, February.
    5. Colombo, Luca & Labrecciosa, Paola & Rusinowska, Agnieszka, 2025. "A dynamic analysis of criminal networks," Journal of Economic Theory, Elsevier, vol. 223(C).
    6. Zenou, Yves, 2005. "Crime, Location and the Housing Market," Working Paper Series 651, Research Institute of Industrial Economics.
    7. Patacchini, Eleonora & Zenou, Yves, 2008. "The strength of weak ties in crime," European Economic Review, Elsevier, vol. 52(2), pages 209-236, February.
    8. Sudipta Sarangi & Colin Cannonier & Bibhudutta Panda, 2011. "Key Players and Key Groups in Teams," Departmental Working Papers 2011-14, Department of Economics, Louisiana State University.
    9. Umed Temurshoev, 2008. "Who's Who in Networks. Wanted: the Key Group," Working Papers 08-08, NET Institute, revised Sep 2008.
    10. Andrea Galeotti & Sanjeev Goyal & Matthew O. Jackson & Fernando Vega-Redondo & Leeat Yariv, 2010. "Network Games," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(1), pages 218-244.
    11. Coralio Ballester & Antoni Calvó-Armengol & Yves Zenou, 2006. "Who's Who in Networks. Wanted: The Key Player," Econometrica, Econometric Society, vol. 74(5), pages 1403-1417, September.

    More about this item

    Keywords

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    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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