However, as the capacity increases or average degree of the graph increases, the solution returned by them does not improve significantly.
In those instances, the minimum (or average) degree of the underlying graph is o(n), but Ω(n/ψ(n)) for some function ψ of the number n of vertices.
We further explore the mechanisms underlying such results by relating a node's incidence (average number of time steps the node is occupied) with its degree, and with the average degree of the nodes it interacts with.
Let d be the average degree of the node.
It quantifies, statistically, the average degree of the vertices in a component.
The X-axis gives the average degree of the initial network.
The growth rate depends on the average degree of the graph.
The average degree of the above random topology is k, which can only be an integer.
We observe that even though vertices 4 and 5 have the same larger degree, the average degree of the neighbors of vertex 5 is slightly lower than the average degree of the neighbors of vertex.
(I) The distribution (P langle k_{mathrm{out}}rangle )) of the average degree of the 248 dependence networks.
The average degree of the network is 4.45, i.e., on average, an SBBD author collaborates with many distinct coauthors.
