Graph measures revealed differences in landscape connectivity across the sites.
Graph measures, GE, PL, and CC, were calculated for theta and alpha band.
Euclidean distance, topological link and distance, and graph measures were employed to quantify the connectivity between human and snail habitats.
Graph Theoretical technique was applied on physiological signals to compute graph measures and network density/SWi for three phases separately.
Indeed, some of the spectral graph measures for the field sites more closely approximate a purely hypothetical no-historical-contingency benchmark graph.
We found that simulated data can be used with confidence to model graph measures of global network organization at different dynamic states and highlight the sensitive dependence of the solutions obtained in simulated data on the specified connection densities.
Several graph measures based on distances, degrees, and graph entropies have been investigated in the recent literature to study a variety of physicochemical properties of these molecules [1, 2].
As will be explained in detail below, topologies can be estimated using various graph measures.
This results in a binary adjacency matrix from which the aforementioned graph measures can be calculated.
By and large, empirical studies rarely account for N,k-dependent biases when estimating graph measures.
From these representations, a variety of graph measures can be calculated that are informative about the network topology.
