The study and understanding of arterial hemodynamics are essential to comprehend the onset and progression of atherosclerotic disease. Blood flow patterns in arteries are highly complex and spatiotemporally heterogeneous, and over the years many hemodynamic descriptors have been suggested to quantify and visualize them. However, the conventional hemodynamic tools allow a partial understanding of the spatiotemporal evolution and persistence length of the large-scale coherent flow structures into the vessels. Trying to overcome this lack of information, very recently the Complex Networks (CNs) theory has been employed as a tool of analysis of cardiovascular flows, integrating the classical Computational Fluid Dynamics (CFD) modeling.