Social Network Analysis of Sicilian Mafia Interconnections

  • Annamaria FicaraEmail author
  • Lucia Cavallaro
  • Pasquale De Meo
  • Giacomo Fiumara
  • Salvatore Catanese
  • Ovidiu Bagdasar
  • Antonio Liotta
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 882)


In this paper, we focus on the study of Sicilian Mafia organizations through Social Network Analysis. We analyse datasets reflecting two different Mafia Families, based on examinations of digital trails and judicial documents, respectively. The first dataset includes the phone calls logs among suspected individuals. The second one is based on police traces of meeting that have taken place among different types of criminals. Our breakthrough is twofold. First in the method followed to generate these new datasets. Second, in the method used to carry out a quantitative phenomena investigation that are hard to evaluate. Our networks are weighted ones, with each weight catching the frequency of interactions between criminals. Therefore, our analysis focuses on weight and shortest paths distributions in both networks. We identify new types of unusual interactions in the Mafia networks, leading to substantial differences between Mafia networks and other types of criminal or terrorist networks.


Criminal networks Complex networks Social Network Analysis Graph theory 


  1. 1.
    Agreste, S., Catanese, S., De Meo, P., Ferrara, E., Fiumara, G.: Network structure and resilience of Mafia syndicates. Inf. Sci. 351, 30–47 (2016). Scholar
  2. 2.
    Barabási, A.-L., Pósfai, M.: Network Science. Cambridge University Press, Cambridge (2016)Google Scholar
  3. 3.
    Calderoni, F.: Morselli, Carlo: inside criminal networks. Eur. J. Crim. Policy Res. 16(1), 69–70 (2010). Scholar
  4. 4.
    Calderoni, F.: The structure of drug trafficking mafias: the ‘Ndrangheta and cocaine. Crime Law Soc. Change 58(3), 321–349 (2012). Scholar
  5. 5.
    Calderoni, F., Superchi, E.: The nature of organized crime leadership: criminal leaders in meeting and wiretap networks. E. Crime Law Soc. Change 72(4), 419–444 (2019). Scholar
  6. 6.
    Campana, P., Varese, F.: Listening to the wire: criteria and techniques for the quantitative analysis of phone intercepts. Trends Organ. Crime 15(1), 13–30 (2012). Scholar
  7. 7.
    Catanese, S., De Meo, P., Ferrara, E., Fiumara, G.: Detecting criminal organizations in mobile phone networks. Expert Syst. Appl. 41(13), 5733–5750 (2014). Scholar
  8. 8.
    Chen, H., Chung, W., Xu, J.J., Wang, G., Qin, Y., Chau, M.: Crime data mining: a general framework and some examples. IEEE Comput. 37(4), 50–56 (2004). Scholar
  9. 9.
    Ferrara, E., De Meo, P., Catanese, S., Fiumara, G.: Visualizing criminal networks reconstructed from mobile phone records. In: CEUR Workshop Proceedings, vol. 1210 (2014)Google Scholar
  10. 10.
    Kleemans, E.R., Van de Bunt, H.G.: The social embeddedness of organized crime. Transnatl. Organ. Crime 5, 19–36 (1999)Google Scholar
  11. 11.
    Kleemans, E.R., De Poot, C.J.: Criminal careers in organized crime and social opportunity structure. Eur. J. Criminol. 5(1), 69–98 (2008). Scholar
  12. 12.
    Krebs, V.E.: Mapping networks of terrorist cells. Connections 24(3), 43–52 (2002)Google Scholar
  13. 13.
    Latora, V., Nicosia, V., Russo, G.: Complex Networks: Principles, Methods and Applications. Cambridge University Press, Cambridge (2017)CrossRefGoogle Scholar
  14. 14.
    Mastrobuoni, G., Patacchini, E.: Organized crime networks: an application of network analysis techniques to the American Mafia. Rev. Netw. Econ. 11(3) (2012).
  15. 15.
    McGloin, J.M.: Policy and intervention considerations of a network analysis of street gangs. Criminol. Public Policy 4(3), 607–635 (2005). Scholar
  16. 16.
    Morselli, C.: Career opportunities and network-based privileges in the Cosa Nostra. Crime Law Soc. Change 39(4), 383–418 (2003). Scholar
  17. 17.
    Natarajan, M.: Understanding the structure of a large heroin distribution network: a quantitative analysis of qualitative data. J. Quant. Criminol. 22(2), 171–192 (2006). Scholar
  18. 18.
    Sarnecki, J.: Delinquent Networks: Youth Co-offending in Stockholm. Cambridge University Press, Cambridge (2001). Scholar
  19. 19.
    Sonnino, S., Franchetti, L.: La Sicilia nel 1876. G. Barbèra (1877)Google Scholar
  20. 20.
    Sparrow, M.K.: The application of network analysis to criminal intelligence: an assessment of the prospects. Soc. Netw. 13(3), 251–274 (1991). Scholar
  21. 21.
    Strang, S.J.: Network analysis in criminal intelligence. In: Masys, A. (ed.) Networks and Network Analysis for Defence and Security. LNSN. Springer, Cham (2014). Scholar
  22. 22.
    Van der Hulst, R.C.: Introduction to Social Network Analysis (SNA) as an investigative tool. Trends Organ. Crime 12(2), 101–121 (2009). Scholar
  23. 23.
    Xu, J., Chen, H.: Criminal network analysis and visualization. Commun. ACM 48(6), 100–107 (2005). Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Annamaria Ficara
    • 1
    Email author
  • Lucia Cavallaro
    • 2
  • Pasquale De Meo
    • 3
  • Giacomo Fiumara
    • 4
  • Salvatore Catanese
    • 4
  • Ovidiu Bagdasar
    • 2
  • Antonio Liotta
    • 5
  1. 1.University of PalermoPalermoItaly
  2. 2.University of DerbyDerbyUK
  3. 3.University of MessinaMessinaItaly
  4. 4.MIFT DepartmentUniversity of MessinaMessinaItaly
  5. 5.Edinburgh Napier UniversityEdinburghUK

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