Characterizing cycle structure in complex networks

Abstract

Characterising the structure of real-world complex networks is of crucial importance to understand the emerging dynamics taking place on top of them. In this work the authors investigate the cycle organization of synthetic and real systems, and use such information to define a centrality measure that is more informative than traditional indexes to the end of understanding network dismantling, synchronization, and spreading processes