Del i serien Computational Social Sciences

Social Dimensions of Organised Crime

Modelling the Dynamics of Extortion Rackets

Häftad, Engelska, 2018

AvCorinna Elsenbroich,David Anzola,Nigel Gilbert

1 379 kr

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This book presents a multi-disciplinary investigation into extortion rackets with a particular focus on the structures of criminal organisations and their collapse, societal processes in which extortion rackets strive and fail and the impacts of bottom-up and top-down ways of fighting extortion racketeering.

Produktinformation

Utgivningsdatum2018-07-17
Mått155 x 235 x 15 mm
Vikt400 g
FormatHäftad
SpråkEngelska
SerieComputational Social Sciences
Antal sidor250
FörlagSpringer International Publishing AG
ISBN9783319832296

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Brottslighet och kriminologi inom Samhälle och politik
Databaser inom Data och IT

Introduction.- Part I: Extortion Rackets as a Global Phenomenon.- National Mafia Type Organisations: Local Threat, Global Reach.- Basic Dynamics of Extortion Racketeering.- Part II: Society and the State.- Social Norms and Extortion Rackets.- Legal Norms against the Italian Mafia.- Part III: Extortion Rackets in Society.- Mafia Methods, Extortion Dynamics and Social Responses.- An Agent-Based Model of Extortion Racketeering.- Extortion Rackets: An event-oriented model of interventions.- Survey Data and Computational Qualitative Analysis.- Part IV: The Criminal Organisation.- Text Data and Computational Qualitative Analysis.- A simulation model of intra-organisational conflict regulation in the crime world.- Part V: Synthesis and Conclusion.- Calibration and Validation.- Conclusion.

“This work is one of many in the unfolding field of computational social science that not only analyzes data, but additionally runs simulations and develops databased models to understand current and future environments. As such it is a valuable study not only for the specific subject matter, but also for the potentially broad application of the techniques employed. … This research is a noteworthy contribution to the emerging multidisciplinary and computationally aided social sciences.” (Computing Reviews, October, 2017)