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- W2383504818 abstract "In Hollenbeck, a gang-dominated region of Los Angeles, gang activity has been monitored by the LAPD. One manner has been in the form of non-criminal stops. We propose a spectral clustering algorithm to predict gang aliation from the information obtained from these stops. Despite the sparseness of data, the combination of geography and the record of individuals involved in a stop reveals the underlying gang structure and higher order structures (collaboration or rivalry). Having obtained positive results on the real Hollenbeck data, we then develop methods to create gang simulations that will further our understanding of this algorithm and the situation in Hollenbeck." @default.
- W2383504818 created "2016-06-24" @default.
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- W2383504818 date "2011-01-01" @default.
- W2383504818 modified "2023-09-27" @default.
- W2383504818 title "Social Network Clustering: An Analysis of Gang Networks" @default.
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