Connectivity of inhomogeneous random K-out graphs
Rashad Eletreby, Osman Ya\u{g}an

TL;DR
This paper studies the connectivity of inhomogeneous random K-out graphs where nodes belong to different classes with varying connection strategies, revealing conditions under which the graph is connected with high probability.
Contribution
It extends the understanding of connectivity in inhomogeneous K-out graphs, especially when the smallest class selects only one node, identifying the impact of the maximum class degree.
Findings
Graph is connected whp if the maximum class degree tends to infinity.
Bounded maximum class degree results in a positive probability of disconnection.
Simulation confirms theoretical results for finite networks.
Abstract
We propose inhomogeneous random K-out graphs , where each of the nodes is assigned to one of classes independently with a probability distribution . In particular, each node is classified as class- with probability , independently. Each class- node selects distinct nodes uniformly at random from among all other nodes. A pair of nodes are adjacent in if at least one selects the other. Without loss of generality, we assume that . Earlier results on homogeneous random K-out graphs , where all nodes select the same number of other nodes, reveal that is connected with high probability (whp) if which implies that $\mathbb{H}(n; \pmb{\mu},…
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