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

• Published in: Social networks Vol. 70; pp. 364 - 374
• Main Authors: Diviák, Tomáš, van Nassau, Casper S., Dijkstra, Jan Kornelis, Snijders, Tom A.B.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.07.2022; Elsevier Science Ltd
• Subjects: Center and periphery; Criminal law; Criminal networks; Disruption; Individual differences; Intervention; Law enforcement; Longitudinal studies; Modularity; Network mechanisms; Police; Stochastic actor-oriented models; Stochastic models; Structural models; Terrorist networks; Intervention; Network mechanisms; Stochastic actor-oriented models; Criminal networks; Terrorist networks
• ISSN: 0378-8733; 1879-2111
• DOI: 10.1016/j.socnet.2022.04.001

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. •Network structure and actor-level mechanisms in criminal networks changes after a disruption.•We analyse longitudinal data about two disrupted Dutch jihadi networks.•While the structure of network 1 was dismantled after the disruption, the cohesion of network 2 increased.•Te found triadic closure operating in both networks accompanied by pre-existing ties translation in network 1.