arXiv · 2109.00339
How likely is a random graph shift-enabled?
Abstract
The shift-enabled property of an underlying graph is essential in designing distributed filters. This article discusses when a random graph is shift-enabled. In particular, popular graph models ER, WS, BA random graph are used, weighted and unweighted, as well as signed graphs. Our results show that the considered unweighted connected random graphs are shift-enabled with high probability when the number of edges is moderately high. However, very dense graphs, as well as fully connected graphs, are not shift-enabled. Interestingly, this behaviour is not observed for weighted connected graphs, which are always shift-enabled unless the number of edges in the graph is very low.
Explore related subjects
Keep this discovery
Liyan Chen, Samuel Cheng, Vladimir Stankovic, Lina Stankovic. 2021-08-28. How likely is a random graph shift-enabled?. https://arxiv.org/abs/2109.00339
Cite the original work for its findings. Save a collection to share your selection of sources.