On reversible cascades in scale-free and Erd\H{o}s-R\'enyi random graphs
Ching-Lueh Chang

TL;DR
This paper analyzes the minimum seed sets needed to activate all nodes in scale-free and Erdős-Rényi graphs under a threshold cascade model, providing bounds based on graph degree distributions and probabilistic properties.
Contribution
It derives new upper bounds on the seed set size for complete activation within a fixed number of rounds in both scale-free and Erdős-Rényi random graphs.
Findings
For scale-free graphs with degree distribution decay, seed size is proportional to the number of vertices.
In Erdős-Rényi graphs, the seed size for immediate activation is proportional to the product of the threshold and total nodes.
Provides probabilistic bounds for seed sizes in Erdős-Rényi graphs with high probability.
Abstract
Consider the following cascading process on a simple undirected graph with diameter . In round zero, a set of vertices, called the seeds, are active. In round a non-isolated vertex is activated if at least a fraction of its neighbors are active in round ; it is deactivated otherwise. For let be the minimum number of seeds needed to activate all vertices in or before round . This paper derives upper bounds on . In particular, if is connected and there exist constants and such that the fraction of degree- vertices in is at most for all then . Furthermore, for …
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Taxonomy
TopicsStochastic processes and statistical mechanics · Cellular Automata and Applications · Complex Network Analysis Techniques
