Small-World Propensity and Weighted Brain Networks.

ABSTRACT: Quantitative descriptions of network structure can provide fundamental insights into the function of interconnected complex systems. Small-world structure, diagnosed by high local clustering yet short average path length between any two nodes, promotes information flow in coupled systems, a key function that can differ across conditions or between groups. However, current techniques to quantify small-worldness are density dependent and neglect important features such as the strength of network connections, limiting their application in real-world systems. Here, we address both limitations with a novel metric called the Small-World Propensity (SWP). In its binary instantiation, the SWP provides an unbiased assessment of small-world structure in networks of varying densities. We extend this

SUBMITTER: Muldoon SF 

PROVIDER: S-EPMC4766852 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature