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Main Authors: Chang, Yi-Jun, Chen, Lyuting, Chen, Yanyu, Mishra, Gopinath, Yang, Mingyang
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2411.11544
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author Chang, Yi-Jun
Chen, Lyuting
Chen, Yanyu
Mishra, Gopinath
Yang, Mingyang
author_facet Chang, Yi-Jun
Chen, Lyuting
Chen, Yanyu
Mishra, Gopinath
Yang, Mingyang
contents Bonne and Censor-Hillel (ICALP 2019) initiated the study of distributed subgraph finding in dynamic networks of limited bandwidth. For the case where the target subgraph is a clique, they determined the tight bandwidth complexity bounds in nearly all settings. However, several open questions remain, and very little is known about finding subgraphs beyond cliques. In this work, we consider these questions and explore subgraphs beyond cliques in the deterministic setting. For finding cliques, we establish an $Ω(\log \log n)$ bandwidth lower bound for one-round membership-detection under edge insertions only and an $Ω(\log \log \log n)$ bandwidth lower bound for one-round detection under both edge insertions and node insertions. Moreover, we demonstrate new algorithms to show that our lower bounds are \emph{tight} in bounded-degree networks when the target subgraph is a triangle. Prior to our work, no lower bounds were known for these problems. For finding subgraphs beyond cliques, we present a complete characterization of the bandwidth complexity of the membership-listing problem for every target subgraph, every number of rounds, and every type of topological change: node insertions, node deletions, edge insertions, and edge deletions. We also show partial characterizations for one-round membership-detection and listing.
format Preprint
id arxiv_https___arxiv_org_abs_2411_11544
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The Complexity Landscape of Dynamic Distributed Subgraph Finding
Chang, Yi-Jun
Chen, Lyuting
Chen, Yanyu
Mishra, Gopinath
Yang, Mingyang
Data Structures and Algorithms
Bonne and Censor-Hillel (ICALP 2019) initiated the study of distributed subgraph finding in dynamic networks of limited bandwidth. For the case where the target subgraph is a clique, they determined the tight bandwidth complexity bounds in nearly all settings. However, several open questions remain, and very little is known about finding subgraphs beyond cliques. In this work, we consider these questions and explore subgraphs beyond cliques in the deterministic setting. For finding cliques, we establish an $Ω(\log \log n)$ bandwidth lower bound for one-round membership-detection under edge insertions only and an $Ω(\log \log \log n)$ bandwidth lower bound for one-round detection under both edge insertions and node insertions. Moreover, we demonstrate new algorithms to show that our lower bounds are \emph{tight} in bounded-degree networks when the target subgraph is a triangle. Prior to our work, no lower bounds were known for these problems. For finding subgraphs beyond cliques, we present a complete characterization of the bandwidth complexity of the membership-listing problem for every target subgraph, every number of rounds, and every type of topological change: node insertions, node deletions, edge insertions, and edge deletions. We also show partial characterizations for one-round membership-detection and listing.
title The Complexity Landscape of Dynamic Distributed Subgraph Finding
topic Data Structures and Algorithms
url https://arxiv.org/abs/2411.11544