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Journal article

Geosocial graph-based community detection

Abstract:

We apply spectral clustering and multislice modularity optimization to a Los Angeles Police Department field interview card data set. To detect communities (i.e., cohesive groups of vertices), we use both geographic and social information about stops involving street gang members in the LAPD district of Hollenbeck. We then compare the algorithmically detected communities with known gang identifications and argue that discrepancies are due to sparsity of social connections in the data as well ...

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Publisher copy:
10.1109/ICDMW.2012.63

Authors


Journal:
Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012
Pages:
754-758
Publication date:
2012-01-01
DOI:
URN:
uuid:40041ca0-431d-45b9-b8ff-e7439999879f
Source identifiers:
384717
Local pid:
pubs:384717
Language:
English
Keywords:

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