Dynamics and disruption: Structural and individual changes in two Dutch Jihadi networks after police interventions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F22%3A10458515" target="_blank" >RIV/00216208:11210/22:10458515 - isvavai.cz</a>

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=3HQUDftpxU" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=3HQUDftpxU</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.socnet.2022.04.001" target="_blank" >10.1016/j.socnet.2022.04.001</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dynamics and disruption: Structural and individual changes in two Dutch Jihadi networks after police interventions

Popis výsledku v původním jazyce

Longitudinal studies of criminal networks are rare yet necessary to assess the adaptation and recovery of criminal networks after disruptions. We study the structural and individual effects of law enforcement disruption on criminal networks using longitudinal data on two Dutch jihadi networks (n1 = 57; n2 = 26). We expect that actors in criminal networks under disruption seek security and to remain concealed as much as possible. We argue how the structural properties of networks as well as mechanisms operating at the actor level might change after a disruption. We used descriptive measures of network cohesion together with core-periphery model fit and modularity to analyse the structural changes in the networks. To obtain the actor-level tendencies, we used undirected stochastic actor oriented models. At the structural level, both networks display opposite tendencies - the larger one is becoming less cohesive after the disruption, whereas the smaller network counter-intuitively becomes structurally more cohesive. Despite the structural differences, the actor-level mechanisms are similar in both studied networks with actors being inclined towards triadic closure and reliance on pre-existing ties. Our study demonstrates the importance of considering the analytical levels of networks and actors by showing that a disruption may disrupt the network at the structural level, while triggering contradictory unintended consequences by increasing individual-level connectivity as in the case of our second network.

Název v anglickém jazyce

Dynamics and disruption: Structural and individual changes in two Dutch Jihadi networks after police interventions

Popis výsledku anglicky

Longitudinal studies of criminal networks are rare yet necessary to assess the adaptation and recovery of criminal networks after disruptions. We study the structural and individual effects of law enforcement disruption on criminal networks using longitudinal data on two Dutch jihadi networks (n1 = 57; n2 = 26). We expect that actors in criminal networks under disruption seek security and to remain concealed as much as possible. We argue how the structural properties of networks as well as mechanisms operating at the actor level might change after a disruption. We used descriptive measures of network cohesion together with core-periphery model fit and modularity to analyse the structural changes in the networks. To obtain the actor-level tendencies, we used undirected stochastic actor oriented models. At the structural level, both networks display opposite tendencies - the larger one is becoming less cohesive after the disruption, whereas the smaller network counter-intuitively becomes structurally more cohesive. Despite the structural differences, the actor-level mechanisms are similar in both studied networks with actors being inclined towards triadic closure and reliance on pre-existing ties. Our study demonstrates the importance of considering the analytical levels of networks and actors by showing that a disruption may disrupt the network at the structural level, while triggering contradictory unintended consequences by increasing individual-level connectivity as in the case of our second network.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

50401 - Sociology

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Social Networks

ISSN

0378-8733

e-ISSN

1879-2111

Svazek periodika

70

Číslo periodika v rámci svazku

July

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

11

Strana od-do

364-374

Kód UT WoS článku

000802754200001

EID výsledku v databázi Scopus

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