Multilevel determinants of collaboration between organised criminal groups
Tài liệu tham khảo
Asal, 2015, When terrorists go bad: analyzing terrorist organizations’ involvement in drug smuggling, Int. Stud. Q., 10.1111/isqu.12162
Aziani, 2019, A quantitative application of enterprise and social embeddedness theories to the transnational trafficking of cocaine in Europe, Deviant Behav., 10.1080/01639625.2019.1666606
Baron, 1993, Network structure and delinquent attitudes within a juvenile gang, Soc. Networks, 10.1016/0378-8733(93)90008-9
Baum, 1999, Dynamics of dyadic competitive interaction, Strateg. Manag. J., 20, 251, 10.1002/(SICI)1097-0266(199903)20:3<251::AID-SMJ23>3.0.CO;2-H
Bichler, 2017, Drug supply networks: a systematic review of the organizational structure of illicit drug trade, Crime Sci., 10.1186/s40163-017-0063-3
Bjørgo, 2019, Preventing organised crime originating from outlaw motorcycle clubs, Trends Organ. Crime, 10.1007/s12117-017-9322-7
Blokland, 2019, Not your average biker; criminal careers of members of Dutch outlaw motorcycle gangs, Trends Organ. Crime, 10.1007/s12117-017-9303-x
Boivin, 2014, Drug trafficking networks in the world economy, 182
Bouchard, 2007, On the resilience of illegal drug markets, Glob. Crime, 10.1080/17440570701739702
Bouchard, 2014, Assessing the core membership of a youth gang from its co-offending network, 81
Bouchard, 2014, Opportunistic structures of organized crime’, 288
Brass, 2004, Taking stock of networks and organizations: a multilevel perspective, Acad. Manag. J., 47, 795, 10.2307/20159624
Brennecke, 2016, The interplay between formal project memberships and informal advice seeking in knowledge-intensive firms: a multilevel network approach, Soc. Networks, 44, 307, 10.1016/j.socnet.2015.02.004
Brennecke, 2017, The firm’s knowledge network and the transfer of advice among corporate inventors—a multilevel network study, Res. Policy, 10.1016/j.respol.2017.02.002
Bright, 2013, Evolution of a drug trafficking network: mapping changes in network structure and function across time, Glob. Crime, 10.1080/17440572.2013.787927
Bright, 2016, Evolution of a drug trafficking network: mapping changes in network structure and function across time
Bright, 2012, Illuminating dark networks: a social network analysis of an Australian drug trafficking syndicate, Crime Law Soc. Chang., 57, 151, 10.1007/s10611-011-9336-z
Bright, 2015, Networks within networks: using multiple link types to examine network structure and identify key actors in a drug trafficking operation, Glob. Crime, 10.1080/17440572.2015.1039164
Bright, 2019, Illicit network dynamics: the formation and evolution of a drug trafficking network, J. Quant. Criminol., 10.1007/s10940-018-9379-8
Broccatelli, 2016, Temporal dynamics in covert networks, Methodol. Innov., 9, 1
Bruinsma, 2004, Criminal groups and transnational illegal markets: a more detailed examination on the basis of Social Network Theory, Crime Law Soc. Chang., 41, 79, 10.1023/B:CRIS.0000015283.13923.aa
Burcher, 2015, Social network analysis and small group ‘dark’ networks: an analysis of the London bombers and the problem of ‘fuzzy’ boundaries, Glob. Crime, 16, 104, 10.1080/17440572.2015.1005363
Butts, 2003, Network inference, error, and informant (in)accuracy: A Bayesian approach, Soc. Networks, 10.1016/S0378-8733(02)00038-2
Caimo, 2011, Bayesian inference for exponential random graph models, Soc. Networks, 33, 41, 10.1016/j.socnet.2010.09.004
Calderoni, 2012, The structure of drug trafficking mafias: The’ Ndrangheta and cocaine, Crime Law Soc. Chang, 10.1007/s10611-012-9387-9
Calderoni, 2014, Social network analysis of organized criminal groups
Canadian Drug Summary: Methamphetamine, 2018.
Cartwright, 1956, Structural balance: a generalization of Heider’s theory, Psychol. Rev., 10.1037/h0046049
Coleman, 1988, Social capital in the creation of human-capital, Am. J. Sociol., 94, S95, 10.1086/228943
Cunningham, 2016
Deryol, 2016, Crime places in context: an illustration of the multilevel nature of hot spot development, J. Quant. Criminol.
Descormiers, 2011, Alliances, conflicts, and contradictions in montreal’s street gang landscape, Int. Crim. Justice Rev., 10.1177/1057567711418501
Diviák, 2019, Key aspects of covert networks data collection: problems, challenges, and opportunities, Soc. Networks, 10.1016/j.socnet.2019.10.002
Diviák, 2019, Poisonous connections: a case study on a Czech counterfeit alcohol distribution network, Glob. Crime
Diviák, 2019, Structure, multiplexity, and centrality in a corruption network: the Czech Rath affair, Trends Organ. Crime, 10.1007/s12117-018-9334-y
Donkin, 2017
Duijn, 2014, The relative ineffectiveness of criminal network disruption, Sci. Rep., 10.1038/srep04238
Dwyer, 2010, Understanding illicit drug markets in Australia notes towards a critical reconceptualization, Br. J. Criminol., 10.1093/bjc/azp065
Eck, 2000, Drug trafficking as a cottage industry, Crime Prev. Stud.
Faust, 2019, Social networks and crime: pitfalls and promises for advancing the field, Annu. Rev. Criminol., 10.1146/annurev-criminol-011518-024701
Felson, 2006
Festinger, 1950, 141
Fijnaut, 1998
Gambetta, 2009
Glückler, 2016, Editorial: social network analysis and economic geography-positional, evolutionary and multi-level approaches, J. Econ. Geogr.
Gottschalk, 2010, Entrepreneurship in organised crime, Int. J. Entrep. Small Bus., 9, 295, 10.1504/IJESB.2010.031923
Grandori, 1995, Inter-firm networks: antecedents, mechanisms and forms, Organ. Stud., 16, 183, 10.1177/017084069501600201
Grassi, 2019, Betweenness to assess leaders in criminal networks: New evidence using the dual projection approach, Soc. Networks, 10.1016/j.socnet.2018.08.001
Grund, 2012, Ethnic heterogeneity in the activity and structure of a Black street gang, Eur. J. Criminol., 9, 388, 10.1177/1477370812447738
Handcock, 2003
Hofmann, 2015, Leadership protection in drug-trafficking networks, Glob. Crime., 10.1080/17440572.2015.1008627
Hollway, 2016, Multilevel embeddedness: the case of the global fisheries governance complex, Soc. Networks, 44, 281, 10.1016/j.socnet.2015.03.001
Hunter, 2008, Goodness of fit of social network models, J. Am. Stat. Assoc., 10.1198/016214507000000446
Johnson, 2000, Crack distribution and abuse in New York, Crime Prev. Stud.
Kadushin, 2012
Kenny, 2007
Kilduff, 2019, Interfirm relational rivalry: implications for competitive strategy, Acad. Manage. Rev., 10.5465/amr.2017.0257
Kleemans, 2014, 32
Klein, 1994, Level issues in theory development, data collection, and analysis, Acad. Manage. Rev., 19, 195, 10.5465/amr.1994.9410210745
Koskinen, 2008
Koskinen, 2007, Bayesian inference for dynamic social network data, J. Stat. Plan. Inference, 10.1016/j.jspi.2007.04.011
Koskinen, 2013, Bayesian analysis for partially observed network data, missing ties, attributes and actors, Soc. Networks, 35, 514, 10.1016/j.socnet.2013.07.003
Koskinen, 2019, Bayesian analysis of ERG models for multilevel, multiplex, and multi-layered networks with sampled or missing data, Vol. 288, 105
Lauchs, 2019, Are outlaw motorcycle gangs organized crime groups? An analysis of the finks MC, Deviant Behav., 10.1080/01639625.2017.1421128
Lauchs, 2019, An analysis of outlaw motorcycle gang crime: are bikers organised criminals?, Glob. Crime, 10.1080/17440572.2019.1583107
Lauchs, 2015
Lazega, 2016, Synchronization costs in the organizational society: intermediary relational infrastructures in the dynamics of multilevel networks
Lazega, 2008, Catching up with big fish in the big pond? Multi-level network analysis through linked design, Soc. Networks, 30, 159, 10.1016/j.socnet.2008.02.001
Lazega, 2016, Effects of competition on collective learning in advice networks, Soc. Networks, 10.1016/j.socnet.2016.04.001
Lerner, 2016, Structural balance in signed networks: separating the probability to interact from the tendency to fight, Soc. Networks, 10.1016/j.socnet.2015.12.002
Levitt, 2000, An Economic Analysis of a Drug-Selling Gang’s Finances, Q. J. Econ., 115, 755, 10.1162/003355300554908
Lomi, 2012, Relational collaboration among spatial multipoint competitors, Soc. Networks, 34, 101, 10.1016/j.socnet.2010.10.005
Lusher, 2013
Magliocca, 2019, Modeling cocaine traffickers and counterdrug interdiction forces as a complex adaptive system, Proc. Natl. Acad. Sci. U. S. A., 10.1073/pnas.1812459116
Malm, 2011, Networks of collaborating criminals: assessing the structural vulnerability of drug markets, J. Res. Crime Delinq., 48, 271, 10.1177/0022427810391535
Malm, 2011, Co-offending between criminal enterprise groups, Glob. Crime, 10.1080/17440572.2011.567832
Markman, 2009, Factor-market rivalry, Acad. Manage. Rev., 10.5465/amr.2009.40632072
Mcpherson, 2001, Birds of a feather: homophily in Social Networks, Annu. Rev. Sociol., 27, 415, 10.1146/annurev.soc.27.1.415
Meredith, 2017, Information seeking in secondary schools: a multilevel network approach, Soc. Networks, 50, 35, 10.1016/j.socnet.2017.03.006
Moreno, 1938, Statistics of social configurations, Sociometry, 1, 342, 10.2307/2785588
Morselli, 2009, Hells angels in springtime, Trends Organ. Crime, 12, 145, 10.1007/s12117-009-9065-1
Morselli, 2009
Morselli, 2010, Assessing vulnerable and strategic positions in a criminal network, J. Contemp. Crim. Justice, 26, 382, 10.1177/1043986210377105
Morselli, 2007, Law-enforcement disruption of a drug importation network, Glob. Crime, 10.1080/17440570701362208
Morselli, 2004, Criminal achievement, offender networks and the benefits of low self-control, Criminology, 10.1111/j.1745-9125.2004.tb00536.x
Morselli, 2017, The independent’s edge in an illegal drug distribution setting: Levitt and Venkatesh revisited, Soc. Networks, 10.1016/j.socnet.2017.04.003
Nese, 2018, Cooperation, punishment and organized crime: a lab-in-the-field experiment in southern Italy, Eur. Econ. Rev., 10.1016/j.euroecorev.2018.05.004
Ouellet, 2017, Criminal collaboration and risk: the drivers of Al Qaeda’s network structure before and after 9/11, Soc. Networks, 10.1016/j.socnet.2017.01.005
Ouellet, 2019, One gang dies, another gains? The network dynamics of criminal group persistence, Criminology, 10.1111/1745-9125.12194
Papachristos, 2012, Why do criminals obey the law? The influence of legitimacy and social networks on active gun offenders, J. Crim. Law Criminol.
Papachristos, 2013, The corner and the crew: the influence of geography and social networks on gang violence, Am. Sociol. Rev., 10.1177/0003122413486800
Paruchuri, 2019, Conceptual foundations of multilevel social networks
Piquette, 2014, Social network analysis of Urban Street gangs, 4981
Quinn, 2001, Angels, bandidos, outlaws, and pagans: The evolution of organized crime among the big four 1% motorcycle clubs, Deviant Behav., 22, 379, 10.1080/016396201750267870
Rand, 2011, The evolution of antisocial punishment in optional public goods games, Nat. Commun., 10.1038/ncomms1442
Ritter, 2012
Robins, 2009, Understanding individual behaviors within covert networks: the interplay of individual qualities, psychological predispositions, and network effects, Trends Organ. Crime, 12, 166, 10.1007/s12117-008-9059-4
Robins, 2013, Social selection, dyadic covariates and geospatial effects
Ruddell, 2011, Are all gangs equal security risks? An investigation of gang types and prison misconduct, Am. J. Crim. Justice, 10.1007/s12103-011-9108-4
Sanderson, 2014, A case study analysis of the Montreal (Canada) chapter of the Hells Angels Motorcycle Club (HAMC) (1995-2010): applying the Crime Business Analysis Matrix (CBAM), Mustang J. Law Leg. Stud.
Schneider, 2013, Violence, organized crime, and illicit drug markets: a Canadian case study, Sociol. Probl. e Prat., 71, 125
Shipilov, 2012, Strategic multiplexity, Strateg. Organ., 10.1177/1476127012452825
Skaperdas, 2001, The political economy of organized crime: providing protection when the state does not, Econ. Gov., 2, 173, 10.1007/PL00011026
Small, 2019, The role of space in the formation of social ties, Annu. Rev. Sociol., 10.1146/annurev-soc-073018-022707
Snijders, 2013, Network dynamics, 252
Snijders, 2006, New specifications for exponential random graph models, Sociol. Methodol., 10.1111/j.1467-9531.2006.00176.x
Sohn, 2019, Borders moderating distance: a social network analysis of spatial effects on policy interaction, Geogr. Anal.
Stys, 2020, Brokering between (not so) overt and (not so) covert networks in conflict zones, Glob. Crime, 21, 74, 10.1080/17440572.2019.1596806
Tita, 2011, Spatializing the social networks of gangs to explore patterns of violence, J. Quant. Criminol., 10.1007/s10940-011-9136-8
Ünal, 2019, Do terrorists make a difference in criminal networks? An empirical analysis on illicit drug and narco-terror networks in their prioritization between security and efficiency, Soc. Networks, 10.1016/j.socnet.2018.11.001
van de Bunt, 2014, The social embeddedness of organized crime, 321
von Lampe, 2004, Organized Crime and Trust: on the conceptualization and empirical relevance of trust in the context of criminal networks, Glob. Crime, 6, 159, 10.1080/17440570500096734
von Mastrigt, 2014, Sex and age homophily in Co-offending networks: opportunity or preference?, 28
Wang, 2013, Exponential random graph models for multilevel networks, Soc. Networks, 35, 96, 10.1016/j.socnet.2013.01.004
Wang, 2016, 125
Ward, 2019, Understanding crime: a multilevel approach, Psychol. Crime Law, 10.1080/1068316X.2019.1572754
Williams, 2002, Anticipating organized and transnational crime, Crime Law Soc. Chang, 37, 311, 10.1023/A:1016095317864
Wood, 2017, The structure and vulnerability of a drug trafficking collaboration network, Soc. Networks, 48, 1, 10.1016/j.socnet.2016.07.001
Yu, 2013, A comprehensive review of multimarket competition research, J. Manage.
Zappa, 2016, Organizational learning across multi-level networks, Soc. Networks, 44, 295, 10.1016/j.socnet.2015.03.003
