Classification

Properties Type

Description

Global

C, a clustering coefficient

To measure the magnitude of a local cluster

Global

Characteristic path length, L

estimate of the least path length among any given pair of regions

Global

Small-world, σ

Proportion of C/L

Global

Modularity, Q

Module Measure of within/between, dense/sparse connectivity

Nodal

Nodal degree, DC

count of links on a vertex joined to the rest of the vertices

Nodal

Vertex specific degree distribution

The degree count of all the vertices, in a random network yielding a Gaussian distribution

Nodal

Betweenness centrality, BC

count of paths of least length that traverse through a vertex among any given pair of vertices