The role of hemodynamics in vascular physiopathology has been widely elucidated through the increasingly detailed modeling of cardiovascular flow. In recent studies, the beneficial role of helical flow in the onset of cardiovascular diseases and its physiological significance was verified. However, the spatiotemporal evolution of spiral blood flow and its level of organization in dynamically correlated structures were not largely examined. The proposed study aims to bridge this gap applying the complex networks (CNs) theory to ten swine-specific hemodynamic models of left anterior descending (LAD) coronary artery. The complexity of arterial flow was schematized through nodes and links and studied applying the characteristic CNs metrics.