Because of spontaneous activity and STDP, synaptic strengths fluctuate, randomly activating and deactivating synapses; therefore, the functional connectivity of the network fluctuates, allowing patterns of connections that would otherwise be inaccessible in a static architecture.
The connectivity of the network measures how individuals are connected to one another through the network [24] and it was described using two parameters: Normalized degree and connectance [22].
(A ) Left panel: connectivity of the network in Figure 3 with long-range connections of strength 0.05 added between 10% of the nodes.
Right panel: eigenvectors shown as in panel C of Figure 3. (B ) Left panel: connectivity of the network in Figure 5 with long-range connections of strength 0.05 added between 10% of the nodes.
The connectivity of the network of bicycle sharing trips increased by 88% from 0.102 to 0.187.
W ∈ C 1 ( R +, R n × n ) is the connectivity of the network.
In general, the k is bigger, the connectivity of the network is stronger.
In addition, the connectivity of the network affects the accuracy of the final consensus value.
Although the second approach can guarantee connectivity of the network, the expense to construct the SDT is very high.
Based on [22], the consensus algorithm's speed is measured by the algebraic connectivity of the network topology.
Lastly, the connectivity of the network based on the MG is determined by measuring the Largest Connected Component.
