4 edition of Economic Geographies of Organized Crime found in the catalog.
|The Physical Object|
|Pagination||xvi, 118 p. :|
|Number of Pages||84|
nodata File Size: 6MB.
J Appl Sec Res 10 2 : 207—220• You will receive the larger discount available for each item. A further question concerns what causes the shift from a cybercrime economy based on the operations of a single gang, as appears to be the case in Bijlmer, to an extensive, multi-gang cybercrime economy, as appears to be the case in Ostroveni?
Given the clandestine nature of most areas of crime, this will tend to be possible only where criminal actors are integrated in dense networks that guarantee a free flow of information, or where illegal activities are characterized by high visibility, continuity and fixed places of business, such as in the cases of illegal casino gambling and the street sale of illicit goods Schelling 1971.
Reuter, Peter, Disorganized Crime: The Economics of the Visible Hand, Cambridge, MA: The MIT Press, 1983.
It would seem most likely that neighbourhoods such as Ostroveni are characterised by an unusually high concentration of suitable cybercrime gang core members whose presence has the capacity to initiate the development of multiple networks, though this is something that the literature has yet to explicitly address.
Wired 7 th February, accessed 9th April 2020• This involved a five stage procedure: systematic scan of the literature; selection of relevant studies; close review of selected studies; identification of regional factors influencing the development of cybercrime; and extraction and classification of factors identified. Soc Sci Comput Rev 30 4 : 470—486• The goal of this book is to provide the student with a rigorous introduction to a diverse but logically consistent set of analytical models of the spatial decisions and interactions that drive the evolution of the economic landscape.
If you are interested, in further exploring spatial approaches to examining organized crime, check out this recent research that applies spatial social network analysis to a historical database of American Mafia members:.
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