Research Article
Analyses of Crime Patterns in NIBRS Data Based on a Novel Graph Theory Clustering Method: Virginia as a Case Study
Table 9
Likelihood index and clustering for gangland (organized crime involvement).
| ā | Name | Cluster | Gangland likelihood index |
| 1 | NEWPORT NEWS | B | 0.9217 | 2 | ROANOKE | B | 0.8786 | 3 | CHESAPEAKE | B | 0.8713 | 4 | PETERSBURG | B | 0.8421 | 5 | NORFOLK | B | 0.8129 | 6 | RICHMOND | B | 0.7953 | 7 | LYNCHBURG | B | 0.6965 | 8 | FREDERICKSBURG | B | 0.689 | 9 | BRISTOL | B | 0.6787 | 10 | ALEXANDRIA | B | 0.6569 | 11 | NORTHAMPTON | B | 0.632 | 12 | LOUDOUN | B | 0.4939 | 13 | CHARLOTTESVILLE | A | 0.4152 | 14 | STAFFORD | B | 0.3853 | 15 | PORTSMOUTH | A | 0.3075 | 16 | HOPEWELL | A | 0.2724 | 17 | GALAX | A | 0.2121 | 18 | CAROLINE | A | 0.1372 | 19 | SUFFOLK | A | 0.1077 | 20 | GREENSVILLE | A | 0.0817 | 21 | CLARKE | A | 0.0689 | 22 | DANVILLE | A | 0.0519 | 23 | HENRY | A | 0.0518 | 24 | RICHMOND | A | 0.0074 | 25 | WINCHESTER | A | | 26 | FRANKLIN | A | | 27 | SUSSEX | A | | 28 | MANASSAS | A | | 29 | WILLIAMSBURG | A | | 30 | GOOCHLAND | A | |
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