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- W2003993911 abstract "Abstract The relevance and potential of network approaches in criminology are well known. Friendship networks and antisocial influences conveyed by them have an impact on the spread of criminal behavior. However, there are relatively few studies reporting on the use of statistical network models in the analysis of delinquency data. The purpose here is to discuss statistical network models that might be appropriate for estimating joint participation in crime and the structure of co-offending youth networks. The discussion is largely based on problems encountered in some recent exploratory studies of juvenile crime in Stockholm with register data from the police on suspected offenders. A bipartite graph model of such data is built from assumptions about crime reporting and offender detection for a specific type of crimes committed in a certain area during a certain time period. It is shown how the model parameters and the numbers of crimes of different sizes, the numbers of offenders of different activities, and the total number of offences can be estimated from data about reported crimes and police identified offenders. The illustrations also show the need for further statistical development." @default.
- W2003993911 created "2016-06-24" @default.
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- W2003993911 date "2001-07-01" @default.
- W2003993911 modified "2023-09-26" @default.
- W2003993911 title "Statistical estimation of co-offending youth networks" @default.
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- W2003993911 doi "https://doi.org/10.1016/s0378-8733(01)00040-5" @default.
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