An Experimental Comparison of Tree-data Structures for Connectivity Queries on Fully-dynamic Undirected Graphs

During the past decades significant efforts have been made to propose data structures for answering connectivity queries on fully dynamic graphs, i.e., graphs with frequent insertions and deletions of edges. However, a comprehensive understanding of how these data structures perform in practice is missing, since not all of them have been implemented, let alone evaluated experimentally. We provide reference implementations for the proposed data structures and experimentally evaluate them on a wide range of graphs. Our findings show that the current solutions are not ready to be deployed in systems as is, as every data structure has critical weaknesses when used in practice. Key limitations that must be overcome are the space and time overhead incurred by balanced data structures, the degeneration of the runtime of space-efficient data structures in worst case scenarios, and the maintenance costs for balanced data structures. We detail our findings in the experimental evaluation and provide recommendations for implementing robust solutions for answering connectivity queries on dynamic graphs.

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Publication Details

Journal
Proceedings of the ACM on Management of Data
Published
2025-02-10
DOI
https://doi.org/10.1145/3709660
Primary Topic
Caching and Content Delivery
Type
article
Field-Weighted Citation Impact
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article

An Experimental Comparison of Tree-data Structures for Connectivity Queries on Fully-dynamic Undirected Graphs

Michael H. Böhlen, Sven Helmer, Qing Chen
Proceedings of the ACM on Management of Data
Caching and Content Delivery
article

An Experimental Comparison of Tree-data Structures for Connectivity Queries on Fully-dynamic Undirected Graphs

Michael H. Böhlen, Sven Helmer, Qing Chen
article en

Abstract

During the past decades significant efforts have been made to propose data structures for answering connectivity queries on fully dynamic graphs, i.e., graphs with frequent insertions and deletions of edges. However, a comprehensive understanding of how these data structures perform in practice is missing, since not all of them have been implemented, let alone evaluated experimentally. We provide reference implementations for the proposed data structures and experimentally evaluate them on a wide range of graphs. Our findings show that the current solutions are not ready to be deployed in systems as is, as every data structure has critical weaknesses when used in practice. Key limitations that must be overcome are the space and time overhead incurred by balanced data structures, the degeneration of the runtime of space-efficient data structures in worst case scenarios, and the maintenance costs for balanced data structures. We detail our findings in the experimental evaluation and provide recommendations for implementing robust solutions for answering connectivity queries on dynamic graphs.

Proceedings of the ACM on Management of DataVol. 3(1)
University of Zurich (CH)
Openalex Percentile: Top 98%
Caching and Content Delivery
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