We report that pyramidal neurons form a sparsely connected (6.7% connectivity) network with an overrepresentation of bidirectional connections.
As the vehicle density increases, the network connectivity goes from sparsely connected to well connected.
We checked all sampling points, different values of ω, and adjusted κ in a way to obtain sparsely connected networks, which in their connectivity resemble their topological counterpart.
Different from that, nodes corresponding to motif 2 are signified by many connections to a rather sparsely connected neighbourhood.
Considering the proportion of nodes and connections (11 nodes / 19 connections) the network appears to be sparsely connected.
When (y = 0), these networks are sparsely connected, having a vanishing number of connections between neurons relative to total population size.
Although eligible studies may be only sparsely connected by direct citations, taking indirect connections into account can help identify additional studies.
For example, we argued that since biological regulatory networks are sparsely connected, the matrix A should be sparse.
Only a few nodes in such a network are highly-connected (and form hubs), while most nodes are sparsely connected [ 15].
Since gene regulatory networks are known to be sparsely connected, many inference methods specify constraints to favor sparse networks in the inference process.
The goal of graph clustering is the separation of sparsely connected dense subgraphs from one another based on various criteria such as vertex connectivity or neighborhood similarity [38].
