L’impatto dell’analisi di rete sullo studio dei fenomeni di criminalità organizzata: evidenze e criticità

Titolo Rivista STUDI ORGANIZZATIVI
Autori/Curatori Attilio Scaglione
Anno di pubblicazione 2023 Fascicolo 2023/1 Lingua Italiano
Numero pagine 24 P. 60-83 Dimensione file 261 KB
DOI 10.3280/SO2023-001003
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Negli ultimi anni, la Social Network Analysis (SNA) è stata impie-gata in modo sempre più frequente nella ricerca sulla criminalità orga-nizzata. Ciò si deve a diversi fattori, tra i quali: l’affermarsi di prospet-tive teoriche che enfatizzano la rilevanza della dimensione relazionale dei fenomeni criminali; lo sviluppo di software specifici che non ri-chiedono all’utente conoscenze specialistiche; la raccolta di dati rela-zionali da fonti elettroniche fino a pochi decenni fa non disponibili come le intercettazioni telefoniche. L’impiego di queste evidenze em-piriche in particolare ha dischiuso nuove dimensioni di analisi e inedite piste di ricerca, ma ha anche sollecitato una riflessione sull’affidabilità e la validità di questi dati, raccolti dalle forze dell’ordine con ben altri obiettivi rispetto a quelli della ricerca scientifica. Questo articolo ana-lizza l’impatto dell’analisi di rete sulla ricerca sulla criminalità organiz-zata fornendo, da un lato, uno stato dell’arte aggiornato sul contributo di questo modello di ricerca alla conoscenza dei fenomeni criminali e, dall’altro, sottolineando i principali aspetti problematici emersi dall’utilizzo della SNA. Nel testo si sottolinea come le sole misure reti-colari non siano sufficienti per cogliere appieno la complessità di un fenomeno come quello della criminalità organizzata. Ricorrere all’approccio combinato di diverse tecniche di analisi qualitativa e quantitativa (mixed methods re-search) costituisce un passaggio cruciale per superare i limiti della ri-cerca di rete e ottenere evidenze più solide grazie alla convergenza e alla corroborazione dei risultati.;

Keywords:Analisi delle reti, reti criminali, criminalità organiz-zata, mafia, intercettazioni telefoniche, mixed methods research.

  1. Berlusconi G. (2013). “Do all the pieces matter? Assessing the reliability of law enforcement data sources for the network analysis of wire taps”, Global Crime, 14 (1): 61-81.
  2. Bichler G., Malm A., Cooper T. (2017). “Drug supply networks: a systematic review of the organizational structure of illicit drug trade”, Crime Science, 6: 1-23.
  3. Blok A. (1974). The Mafia of a Sicilian Village, 1860-1960: A Study of Violent Peasant. Basil: Blackwell.
  4. Borgatti S., Carley K., Krackhardt D. (2006). “On the Robustness of Centrality Measures Under Conditions of Imperfect Data”, Social Networks, 28: 124-136.
  5. Bouchard M., Malm A. (2016). Social Network Analysis and its Contribution to Research on Crime and Criminal Justice. Oxford Handbooks Online.
  6. Bouchard M. (2021). “Collaboration and Boundaries in Organized Crime: A Network Perspective”, Crime and Justice, 49: 425-469.
  7. Braga A., Weisburd D., Turchan B. (2018). “Focused Deterrence Strategies and Crime Control, Criminology and Public Policy, 17: 205-250.
  8. Bright D., (2015). Identifying key actors in criminal networks: the relative value of node position and role. In: Malm A., Bichler G. (a cura di) Preventing Crime with Network Analysis. Lynne Rienner Publishers, Crime Prevention Studies.
  9. Bright D., Brewer R., Morselli C. (2021). “Using social network analysis to study crime: Navigating the challenges of criminal justice records”, Social Networks, 66: 50-64.
  10. Bright D., Greenhill C., Levenkova N. (2014). Dismantling criminal networks: Can node attributes play a role? In Morselli C. (a cura di) Crime and Networks. New York, Routledge.
  11. Bright D., Greenhill C., Reynolds M., Ritter A., Morselli C. (2015b). “The use of actorlevel attributes and centrality measures to identify key actors”, Journal of Contemporary Criminal Justice, 31: 262-278.
  12. Bright D., Greenhill C., Ritter A., Morselli C. (2015). “Networks within networks: using multiple link types to examine network structure and identify key actors in a drug trafficking operation”, Global Crime, 16: 219-237.
  13. Bright D., Koskinen J., Malm A. (2019). “Illicit Network Dynamics: The Formation and Evolution of a Drug Trafficking Network”, Journal of Quantitative Criminology, 35: 237-258.
  14. Bruinsma G., Bernasco W. (2004). “Criminal Groups and Transnational Illegal Markets: A More Detailed Examination on the Basis of Social Network Theory”, Crime, Law and Social Change, 41: 79-94.
  15. Calderoni F. (2012). “The structure of drug trafficking mafias: The ‘Ndrangheta and cocaine”, Crime, Law and Social Change, 58: 321-349.
  16. Calderoni F. (2014a). Strategic positioning in mafia networks. In Morselli C. (a cura di). Crime and Networks. Criminology and Justice Studies Series, New York: Routledge.
  17. Calderoni F. (2014b). Predicting organized crime leaders. In Bichler G., Malm A. (a cura di) Disrupting Criminal Networks: Network Analysis. Boulder: Lynne Rienner Publishers.
  18. Calderoni F. (2018). Le reti delle mafie. Le relazioni sociali e la complessità delle organizzazioni criminali. Milano: Vita e Pensiero.
  19. Campana P. (2016). “The structure of human trafficking: lifting the bonnet on a Nigerian transnational network”, British Journal of Criminology, 56: 68-86.
  20. Campana P. (2018). “Out of Africa: the organization of migrant smuggling across the Mediterranean”, European Journal of Criminology, 15: 481-502.
  21. Campana P., Varese F. (2012). “Listening to the wire: criteria and techniques for the quantitative analysis of phone intercepts”, Trends in Organized Crime, 15: 13-30.
  22. Campana P., Varese F. (2022). “Studying organized crime networks: Data sources, boundaries and the limits of structural measures”, Social networks, Available online 26 May 2020, 69: 149-159.
  23. Carrington P. (2011). Crime and Social Network Analysis. In Scott J., Carrington P. (a cura di) Sage Handbook of Social Network Analysis. London: SAGE Publications.
  24. Catino M., Rocchi S., Vittucci Marzetti G. (2022). “The network of interfamily marriages in ‘Ndrangheta”, Social networks, 68: 318-329.
  25. Cockbain E., Brayley H., Laycock G. (2011). “Exploring internal child sex trafficking networks using social network analysis”, Policing, 5: 144-157.
  26. Coles N. (2001). “It’s Not What You Know - It’s Who You Know That Counts. Analysing Serious Crime Groups as Social Networks”, British Journal of Criminology, 41: 580-594.
  27. Crossley N., Edwards G., Harries E., Stevenson R. (2012). “Covert Social Movement Networks and the Secrecy-Efficiency Trade off: The Case of the UK Suffragettes (1906–1914)”, Social Networks, 34: 634-44.
  28. Denton E. (2016). “Anatomy of offending: human trafficking in the United States, 2006-2011”, Journal of Human Trafficking, 2: 32-62.
  29. Dino A. (2021). “La ‘forza del diritto’: attori, retoriche e campi sociali nella battaglia simbolica per la definizione del fenomeno mafioso”, Studi sulla questione criminale, 2: 13-33.
  30. Diviak T. (2022). “Key aspects of covert networks data collection: Problems, challenges, and opportunities”, Social Networks, 69: 160-169.
  31. Englefield A., Ariel B. (2017). “Searching for influential actors in co-offending networks: the recruiter”, International Journal of Social Science Studies, 5: 24-45.
  32. Everton S. (2012). Disrupting Dark Networks. New York: Cambridge University Press.
  33. Faust K., Tita G. (2019). “Social networks and crime: pitfalls and promises for advancing the field”, Annual Review of Criminology, 2: 99-122.
  34. Felaco C. (2019), La social network analysis e la ricerca mixed methods. Segrate: PM Edizioni.
  35. Helfstein S., Wright D. (2011). “Covert or convenient? Evolution of terror attack networks”, Journal of Conflict Resolution, 55: 785-813.
  36. Hess H. (1973). Mafia. Bari: Laterza.
  37. Hofmann D., Gallupe O. (2015). “Leadership protection in drug-trafficking networks”, Global Crime, 16: 123-138.
  38. Iannello A., Vesco A. (2017). Tra repressione e conoscenza. La ricerca sul fenomeno mafioso e il problema politico del rapporto con le fonti. In General Intellect (a cura di) Università critica. Liberi di pensare, liberi di ricercare. Il Lavoro Culturale & Effimera.
  39. Ianni F. J. (1972). A Family Business: Kinship and Social Control in Organized Crime. New York: Russell Sage Foundation.
  40. Iwanski N., Frank R. (2014). The evolution of a drug co-arrest network. In Morselli C. (a cura di) Crime and Networks. New York: Routledge.
  41. Jones N., Dittmann W. L., Wu J., Reese T. (2018). “A mixed methods social network analysis of a cross-border drug network: the Fernando Sanchez organization (FSO)”, Trends in organized crime, 23: 154-182.
  42. Kapucu N., Demiroz F. (2011). “Measuring performance for collaborative public management using network analysis methods and tools”, Public Performance & Management Review, 34: 549-579.
  43. Kennedy D., Braga A., Piehl A. (1997). The (un)known universe: Mapping gangs and gang violence in Boston. In Weisburd D., Mcewen T. (a cura di) Crime Mapping and Crime Prevention, New York: Criminal Justice Press.
  44. Kenney M. (2007). “The architecture of drug trafficking: Network forms of organization in the Colombian cocaine trade”, Global Crime, 8: 233-859.
  45. Koschade S. (2006). “A Social Network Analysis of Jemaah Islamiyah: The Applications to Counterterrorism and Intelligence”, Studies in Conflict and Terrorism, 29: 559-575.
  46. Kossinets G. (2006). “Effects of Missing Data in Social Networks”, Social Networks, 28: 247-268.
  47. Krebs V. (2002). “Mapping Terrorist Networks”, Connections, 24: 43-52.
  48. Lauchs M., Keast R., Yousefpour N. (2011). “Corrupt police networks: uncovering hidden relationship patterns, functions and roles”, Policing and Society, 21: 110-127.
  49. Leuprecht C., Aulthouse A. (2014). “Guns for hire: North America’s intra-continental gun trafficking networks”, Criminology, Criminal Justice, Law and Society, 15: 57-74.
  50. Lindquist M., Zenou Y. (2019). “Crime and networks: ten policy lessons”, Oxford Review of Economic Policy, 35: 746-771.
  51. Malm A., Bichler G. (2013). “Using friends for money: the positional importance of money-launderers in organized crime”, Trends in Organized Crime, 16: 365-381.
  52. Malm A., Bichler G., Van De Walle S. (2010). “Comparing the ties that bind criminal networks: is blood thicker than water?” Security Journal, 23: 52-74.
  53. Mancuso M. (2014), “Not all madams have a central role: analysis of a Nigerian sex trafficking network”, Trends in Organized Crime, 17: 66-88.
  54. Mastrobuoni G., Patacchini E. (2012). “Organized Crime Networks: an Application of Network Analysis Techniques to the American Mafia”, Review of Network Economics, 11: 1-43.
  55. Mcgloin J. M., Kirk D. (2010). “An overview of social network analysis”, Journal of Criminal Justice Education, 21: 169-181.
  56. Mcillwain J. S. (1999). “Organized Crime: A Social Network Approach”, Crime, Law and Social Change, 32: 301-323.
  57. Moreno J. L. (1932). Application of the Group Method to Classification. New York: National Committee on Prisons and Prison Labor.
  58. Moreno J. L. (1934/1953). Who Shall Survive: Foundations of Sociometry, Group Psychotherapy and Sociodrama. Beacon: Beacon House.
  59. Morselli C. (2003). “Career opportunities and network-based privileges in the Cosa Nostra”, Crime, Law and Social Change, 39: 383-418.
  60. Morselli C. (2009a). “Hells Angels in springtime, Trends in Organized Crime, 12: 145-158.
  61. Morselli C. (2009b). Inside Criminal Networks. New York: Springer.
  62. Morselli C. (2010). “Assessing vulnerable and strategic positions in a criminal network”, Journal of Contemporary Criminal Justice, 26: 382-392.
  63. Morselli C., Giguère C., Petit K. (2007). “The efficiency/security trade-off in criminal networks”, Social Networks, 29: 143-153.
  64. Morselli C., Petit K. (2007). “Law-Enforcement Disruption of a Drug Importation Network”, Global Crime, 8: 109-130.
  65. Morselli C., Roy J. (2008). “Brokerage qualifications in ringing operations”, Criminology, 46: 71-98.
  66. Natarajan M. (2000). “Understanding the structure of a drug trafficking organization: a conversational analysis”, Crime Prev. Studies, 11: 273-298.
  67. Natarajan M. (2006). “Understanding the structure of a large heroin distribution network: a quantitative analysis of qualitative data”, Journal of Quantitative Criminology, 22: 171-192.
  68. Ouellet M., Bouchard M. (2018). “The 40 members of the Toronto 18: group boundaries and the analysis of illicit networks”, Deviant Behaviour, 39: 1467-1482.
  69. Papachristos A. (2009). “Murder by Structure: Dominance Relations and the Social Structure of Gang Homicide”, American Journal of Sociology, 115: 74-128.
  70. Papachristos A. (2014). “The network structure of crime”, Sociology Compass, 8: 347-357.
  71. Papachristos A., Smith C. (2013). The embedded and multiplex nature of Al Capone. In Morselli C. (a cura di) Crime and Networks, New York: Routledge.
  72. Piselli F. (2001). Reti. L’analisi di network nelle scienze sociali, Roma: Donzelli.
  73. Rostami A., Mondani H. (2015), “The complexity of crime network data: a case study of its consequences for crime control and the study of networks”, PLoS One, 10 (3), e0119309.
  74. Salvini A. (2017). L’analisi delle reti sociali. Risorse e meccanismi. Pisa: Pisa University Press.
  75. Scaglione A. (2011). Reti mafiose. Cosa Nostra e Camorra: organizzazioni criminali a confronto. Milano: FrancoAngeli.
  76. Sciarrone R. (2009). Mafie vecchie. Mafie nuove. Radicamento ed espansione. Roma: Donzelli.
  77. Sciarrone R., Storti L. (2019). Le mafie nell’economia legale. Scambi, collusioni, azioni di contrasto. Bologna: Il Mulino.
  78. Smith C., Papachristos A. (2016). “Trust Thy Crooked Neighbor: Multiplexity in Chicago Organized Crime Networks”, American Sociological Review, 81: 644-667.
  79. Sparrow M. K. (1991). “The Application of Network Analysis to Criminal Intelligence: An Assessment of the Prospects”, Social Networks, 13: 251-274.
  80. Stevenson R., Crossley N. (2013). “Change in Covert Social Movement Networks: The ‘Inner Circle’ of the Provisional Irish Republican Army”, Social Movement Studies, 13: 70-91.
  81. Storti L. (2005). “Organizzazione a rete e capitale sociale: il caso della mafia”, Studi Organizzativi, 2-3: 161-180.
  82. Trobia A., Milia V. (2011). Social network analysis. Approcci, tecniche e nuove applicazioni. Roma: Carocci.
  83. Van Der Hulst R. C. (2009). “Introduction to Social Network Analysis (SNA) as an Investigative Tool”, Trends in Organized Crime, 12: 101-121.
  84. Van Mastrigt S., Carrington P. (2014). Sex and age homophily in co-offending networks: opportunity or preference? In Morselli, C. (a cura di) Crime and Networks. New York: Routledge.
  85. Varese F. (2011). Mafias on the move: How organized crime conquers new territories. Princeton: Princeton University Press.
  86. Varese F. (2013). “The structure and the content of criminal connections: The Russian Mafia in Italy”, European Sociological Review, 29: 899-909.
  87. Von Lampe K. (2009). “Human Capital and Social Capital in Criminal Networks”, Introduction to the Special Issue on the 7th Blankensee Colloquium, Trends in Organized Crime, 12 (2), June 2009: 93-100.
  88. Westlake B., Bouchard M., Frank R. (2011). “Finding the key players in online child exploitation networks”, Policy and Internet, 3: 104-135.
  89. Xu J., Chen H. (2008). “The Topology of Dark Networks”, Communications of the ACM 51, 10: 58-65.
  90. Zhu J. (2017). Corruption networks in China: An institutional Analysis. In Gong T., Scott I. (a cura di) Routledge Handbook of Corruption in Asia, London: Routledge.

Attilio Scaglione, L’impatto dell’analisi di rete sullo studio dei fenomeni di criminalità organizzata: evidenze e criticità in "STUDI ORGANIZZATIVI " 1/2023, pp 60-83, DOI: 10.3280/SO2023-001003