A mixed methods social network analysis of a cross-border drug network: the Fernando Sanchez organization (FSO)
This study is a mixed methods case study of the Fernando Sanchez Organization (FSO) better known as the Tijuana Cartel in the 2008–2010 period, aimed at better understanding internal structures and the roles of individuals in crossborder polydrug networks under pressures from rivals and state leader...
| 1. VerfasserIn: | |
|---|---|
| Beteiligte: | ; ; |
| Medienart: | Elektronisch Aufsatz |
| Sprache: | Englisch |
| Veröffentlicht: |
17 October 2018
|
| In: |
Trends in organized crime
Jahr: 2020, Band: 23, Heft: 2, Seiten: [154]-182 |
| Online Zugang: |
Volltext (Resolving-System) |
| Journals Online & Print: | Lade...
|
| Verfügbarkeit prüfen: | HBZ Gateway |
| Schlagwörter: |
| Zusammenfassung: | This study is a mixed methods case study of the Fernando Sanchez Organization (FSO) better known as the Tijuana Cartel in the 2008–2010 period, aimed at better understanding internal structures and the roles of individuals in crossborder polydrug networks under pressures from rivals and state leadership targeting. In addition to historical archival data to build a qualitative case study, it uses arrest warrant data (an emergency wiretap application and a Racketeering Influenced Corrupt Organizations Act or RICO indictment) from the FSO drug network investigation in order to visualize the structure of the cross border network and to explore research questions regarding the relationship between actor centrality/network topography metrics and variables of interest including organizational role, age, gender, number of prior arrests, location of criminal activity, and location of residence using social network analysis (SNA). Findings included: narcotics distributors, drug couriers, and enforcers for the network all had higher centrality in the network, age was only slightly negatively correlated with eigenvector centrality, gender had no bearing on centrality, the number of prior arrests also had no bearing on degree or betweenness centrality, but did positively correlate with eigenvector centrality. Findings also demonstrated faction subgroup analysis had considerable overlap with both law-enforcement-reported-address and location of criminal activity (coded as actor attributes). This finding suggests it may be possible to predict the location of criminal activity and residence through faction analysis in other binational trafficking networks. |
|---|---|
| Beschreibung: | Literaturverzeichnis: Seite 178-182 |
| Beschreibung: | Illustrationen |
| ISSN: | 1936-4830 |
| DOI: | 10.1007/s12117-018-9352-9 |