Testing Spreading Behavior in Networks with Arbitrary Topologies
Augusto Modanese, Yuichi Yoshida

TL;DR
This paper studies property testing of spreading behavior in networks with arbitrary topologies, providing bounds on query complexity for both single and multiple time step testing, advancing understanding of dynamic network properties.
Contribution
It introduces new algorithms and bounds for property testing of bootstrap percolation in dynamic networks, including single and multiple time step scenarios.
Findings
Query complexity bounds for single time step testing.
Upper bounds for multi-step environment testing.
Matching lower bounds for certain graph degrees.
Abstract
Inspired by the works of Goldreich and Ron (J. ACM, 2017) and Nakar and Ron (ICALP, 2021), we initiate the study of property testing in dynamic environments with arbitrary topologies. Our focus is on the simplest non-trivial rule that can be tested, which corresponds to the 1-BP rule of bootstrap percolation and models a simple spreading behavior: Every "infected" node stays infected forever, and each "healthy" node becomes infected if and only if it has at least one infected neighbor. We show various results for both the case where we test a single time step of evolution and where the evolution spans several time steps. In the first, we show that the worst-case query complexity is or (whichever is smaller), where and are the maximum degree of a node and number of vertices, respectively, in the underlying graph, and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
