Renormalization in Complex Networks

Abstract

Abstract: Complex networks are ubiquitous both in biology and sociology, and also widely constructed and exploited in science and technology. Common topological features are shared among various complex networks across disciplines. Renormalization of complex networks, yielding scaling laws and critical exponents, offers a new approach to category distinctive networks into universality classes, revealing similarities hard to capture in usually ways, whose analysis will help the understanding and facilitate improvement in different fields.