Network analysis is one of the fastest growing areas of scientific research. With popular press books like Linked and networking websites like Facebook, the study of networks has transcended from the niche research that it once was and into the popular conscience. Despite being more recognizable as a concept, it remains poorly understood as a theoretical device. Complex analytical proofs and computational simulations describe limitless possibilities for the study and analysis of relational structures without stating which forms are most likely to occur and why. Even data-driven network analysis misses the mark by concentrating too heavily on descriptions of network structures without making clear statements about why and how they matter to the collective behavior under inspection.
ARTIS takes a different approach. We seamlessly combine formal theoretic methods with relevant field data using designed questions relevant to the subjects under study. Whether studying the evolving relations of terrorist networks or how friendship networks reduce the likelihood that individuals turn toward violence, the aim is to use our insights to provide researchers and policymakers with clear, empirically founded understanding.