Organised crime movement across local communities: A network approach
This paper explores the structure of organised crime movement across local communities and the drivers underpinning such movement. Firstly, it builds on network analysis to offer a novel methodological approach to empirically and quantitatively study the movement of organised crime offenders across...
| Main Author: | |
|---|---|
| Contributors: | |
| Format: | Electronic Article |
| Language: | English |
| Published: |
2024
|
| In: |
Trends in organized crime
Year: 2024, Volume: 27, Issue: 3, Pages: 286-313 |
| Online Access: |
Volltext (kostenfrei) |
| Journals Online & Print: | Drawer...
|
| Check availability: | HBZ Gateway |
| Keywords: |
MARC
| LEADER | 00000caa a22000002 4500 | ||
|---|---|---|---|
| 001 | 1904143431 | ||
| 003 | DE-627 | ||
| 005 | 20241213143655.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 241002s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s12117-024-09531-7 |2 doi | |
| 035 | |a (DE-627)1904143431 | ||
| 035 | |a (DE-599)KXP1904143431 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 2,1 |2 ssgn | ||
| 100 | 1 | |a Campana, Paolo |e VerfasserIn |0 (DE-588)1139132717 |0 (DE-627)897304942 |0 (DE-576)346098335 |4 aut | |
| 109 | |a Campana, Paolo | ||
| 245 | 1 | 0 | |a Organised crime movement across local communities: A network approach |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a This paper explores the structure of organised crime movement across local communities and the drivers underpinning such movement. Firstly, it builds on network analysis to offer a novel methodological approach to empirically and quantitatively study the movement of organised crime offenders across geographical areas. The paper then applies this approach to evidence from Cambridgeshire in the United Kingdom. It reconstructs the movement of organised crime members across local areas based on a large-scale police dataset that includes 41 months of recorded crime events. It identifies organised crime “turf” and “target” areas and then explores the drivers of movement from the former to the latter using Exponential Random Graph Models. Findings confirm that geographical distance matters; however, socio-demographic, urban, economic and crime-related characteristics of communities play a key role. Organised crime group members target urban communities with higher than average illegal market opportunities (proxied by drug-related activity). The work also finds the effect of socio-demographic homophily between turf and target communities, suggesting that organised crime group members might target territories that are similar to their own. While a high level of deprivation makes a community more likely to send organised crime members, its impact on a community’s probability of being a receiver is less clear. Finally, the paper offers a way to identify communities (local areas) at risk of being targeted by criminal organisations, thus providing practitioners with a tool for early interventions. | ||
| 650 | 4 | |a Community-based networks | |
| 650 | 4 | |a Social Network Analysis | |
| 650 | 4 | |a Mobility | |
| 650 | 4 | |a Organised Crime | |
| 700 | 1 | |a Meneghini, Cecilia |e VerfasserIn |0 (DE-588)1313963585 |0 (DE-627)187633570X |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Trends in organized crime |d Getzville, NY : HeinOnline, 1995 |g 27(2024), 3, Seite 286-313 |h Online-Ressource |w (DE-627)32051806X |w (DE-600)2014206-7 |w (DE-576)098304852 |x 1936-4830 |7 nnns |
| 773 | 1 | 8 | |g volume:27 |g year:2024 |g number:3 |g pages:286-313 |
| 856 | |u https://link.springer.com/content/pdf/10.1007/s12117-024-09531-7.pdf |x unpaywall |z Vermutlich kostenfreier Zugang |h publisher [open (via crossref license)] | ||
| 856 | 4 | 0 | |u https://doi.org/10.1007/s12117-024-09531-7 |x Resolving-System |z kostenfrei |3 Volltext |
| 912 | |a NOMM | ||
| 935 | |a mkri | ||
| 951 | |a AR | ||
| ELC | |a 1 | ||
| LOK | |0 000 xxxxxcx a22 zn 4500 | ||
| LOK | |0 001 4585898506 | ||
| LOK | |0 003 DE-627 | ||
| LOK | |0 004 1904143431 | ||
| LOK | |0 005 20241002043605 | ||
| LOK | |0 008 241002||||||||||||||||ger||||||| | ||
| LOK | |0 035 |a (DE-2619)KrimDok#2024-10-01#E8A8A406E29F2BB43430EA3F5D51707F0DAA8032 | ||
| LOK | |0 040 |a DE-2619 |c DE-627 |d DE-2619 | ||
| LOK | |0 092 |o n | ||
| LOK | |0 852 |a DE-2619 | ||
| LOK | |0 852 1 |9 00 | ||
| LOK | |0 935 |a zota | ||
| OAS | |a 1 | ||
| ORI | |a WA-MARC-krimdoka001.raw | ||