28:T478,

Social network analysis can be a powerful tool to better understand the social context of terrorist activities, and it may also offer potential leads for agencies to intervene. Our access to Dutch police information allows us to analyse the relational features of two networks that include actors who planned acts of terrorism and were active in the dissemination of a Salafi-Jihadi interpretation of Islam (n = 57; n = 26). Based on a mixed-method approach that combines qualitative and more formal statistical analysis (exponential random graph models), we analyse the structural characteristics of these networks, individual positions and the extent to which radical leaders, pre-existing family and friendship ties and radicalizing settings affect actors to form ties. We find that both networks resemble a core–periphery structure, with cores formed by a densely interconnected group of actors who frequently meet in radicalizing settings. Based on our findings, we discuss the potential effects of preventive and repressive measures developed within the Dutch counterterrorism framework.

29:T46c,

Despite the increasing academic interest in match-fixing, little is known about the behavioral determinants of this phenomenon. This study applies key theoretical concepts of situational action theory (SAT) to sportspersons’ decision-making process when confronted with sports-related match-fixing (SRMF) propositions. Using a factorial survey, amateur football players (n = 661), and tennis players (n = 609) in Flanders (Belgium) were asked to evaluate hypothetical realistic situations containing match-fixing propositions. Our results show that sportspersons’ crime propensity, mostly determined by their moral judgment of SRMF and self-control, and their levels of temptation, together with a number of SAT interactions, were the best predictors of SRMF as a form of sports-related rule breaking. We conclude that SAT provides a valuable theoretical framework to study fraud in sports phenomena such as SRMF, and that factorial surveys have great potential to allow researchers to reach beyond the risk factor stage of research, to efficiently inform prevention initiatives.

2a:T958,