  Recent developments in graph theoretic analysis of complex networks have led
to deeper understanding of brain networks. Many complex networks show similar
macroscopic behaviors despite differences in the microscopic details. Probably
two most often observed characteristics of complex networks are scale-free and
small-world properties. In this paper, we will explore whether brain networks
follow scale-free and small-worldness among other graph theory properties.
