For another important factor of WSN connectivity, the size of connectivity is directly related to the performance of data transmission, data processing, data computation, etc. Next, four different network models are adopted to compare the connectivity of WSN in experiments.
In this respect, percolation theory of complex networks [17] provides a valuable framework to characterize the presence and the size of the connectivity structures that are essential for the description of networks at the macroscopic level.
We chose a time scale of 30 generations as a trade-off between an optimal evolutionary times scale and computational constraints, considering the size of the connectivity matrix.
Reverberating synaptic activity and Up-states appear to be an emergent property of networks of a certain size and degree of connectivity [35], [51].
Even though the core-periphery structure of the CN is similar to those of the original networks, the proportional sizes and connectivity of its zones 1 and 2 are significantly increased (Table 1).
The location of the habitat patches in the matrix seemed to be a more important factor than the habitat size in the estimation of connectivity.
Meanwhile, the genetic or PPI networks offered only snapshot information about the relationship between family sizes and connectivity of genes, which was often found to be inaccurate.
In contrast, when networks of the size and connectivity of the biological GRNs are constructed with randomly placed links, they display an exponential increase in feedback loops consisting of three or more genes, which number in the thousands.
Despite these differences in the sign of the relationship between separate indices of connectivity, the sizes of functional connectivity indices were correlated across subjects, that is, subjects with stronger functional connectivity between PMv and M1 also showed higher degrees of TMS-measured effective connectivity between the two areas.
This resulted in two new sets of connectivity matrices (sizes 91 × 91 and 92 × 92) for all subjects.
