The Expander Hierarchy and its Applications to Dynamic Graph Algorithms Article Swipe
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2005.02369
We introduce a notion for hierarchical graph clustering which we call the expander hierarchy and show a fully dynamic algorithm for maintaining such a hierarchy on a graph with $n$ vertices undergoing edge insertions and deletions using $n^{o(1)}$ update time. An expander hierarchy is a tree representation of graphs that faithfully captures the cut-flow structure and consequently our dynamic algorithm almost immediately implies several results including: (1) The first fully dynamic algorithm with $n^{o(1)}$ worst-case update time that allows querying $n^{o(1)}$-approximate conductance, $s$-$t$ maximum flows, and $s$-$t$ minimum cuts for any given $(s,t)$ in $O(\log^{1/6} n)$ time. Our results are deterministic and extend to multi-commodity cuts and flows. The key idea behind these results is a fully dynamic algorithm for maintaining a tree flow sparsifier, a notion introduced by Räcke [FOCS'02] for constructing competitive oblivious routing schemes. (2) A deterministic fully dynamic connectivity algorithm with $n^{o(1)}$ worst-case update time. This significantly simplifies the recent algorithm by Chuzhoy et al.~that uses the framework of Nanongkai et al. [FOCS'17]. (3) The first non-trivial deterministic fully dynamic treewidth decomposition algorithm on constant-degree graphs with $n^{o(1)}$ worst-case update time that maintains a treewidth decomposition of width $\text{tw}(G)\cdot n^{o(1)}$ where $\text{tw}(G)$ denotes the treewidth of the current graph. Our technique is based on a new stronger notion of the expander decomposition, called the boundary-linked expander decomposition. This decomposition is more robust against updates and better captures the clustering structure of graphs. Given that the expander decomposition has proved extremely useful in many fields, we expect that our new notion will find more future applications.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2005.02369
- https://arxiv.org/pdf/2005.02369
- OA Status
- green
- Cited By
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3118169244
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3118169244Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2005.02369Digital Object Identifier
- Title
-
The Expander Hierarchy and its Applications to Dynamic Graph AlgorithmsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-05-05Full publication date if available
- Authors
-
Gramoz Goranci, Harald Räcke, Thatchaphol Saranurak, Zihan TanList of authors in order
- Landing page
-
https://arxiv.org/abs/2005.02369Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2005.02369Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2005.02369Direct OA link when available
- Concepts
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Treewidth, Tree decomposition, Hierarchy, Algorithm, Mathematics, Combinatorics, Graph, Expander graph, Computer science, Discrete mathematics, Pathwidth, Line graph, Market economy, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2021: 3Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.maintains | 186 |
| abstract_inverted_index.n^{o(1)}$ | 193 |
| abstract_inverted_index.oblivious | 134 |
| abstract_inverted_index.structure | 54, 233 |
| abstract_inverted_index.technique | 204 |
| abstract_inverted_index.treewidth | 174, 188, 198 |
| abstract_inverted_index.$n^{o(1)}$ | 37, 73, 145, 181 |
| abstract_inverted_index.[FOCS'17]. | 166 |
| abstract_inverted_index.clustering | 7, 232 |
| abstract_inverted_index.faithfully | 50 |
| abstract_inverted_index.including: | 65 |
| abstract_inverted_index.insertions | 33 |
| abstract_inverted_index.introduced | 127 |
| abstract_inverted_index.simplifies | 151 |
| abstract_inverted_index.undergoing | 31 |
| abstract_inverted_index.worst-case | 74, 146, 182 |
| abstract_inverted_index.competitive | 133 |
| abstract_inverted_index.immediately | 61 |
| abstract_inverted_index.maintaining | 21, 120 |
| abstract_inverted_index.non-trivial | 170 |
| abstract_inverted_index.sparsifier, | 124 |
| abstract_inverted_index.conductance, | 81 |
| abstract_inverted_index.connectivity | 142 |
| abstract_inverted_index.consequently | 56 |
| abstract_inverted_index.constructing | 132 |
| abstract_inverted_index.hierarchical | 5 |
| abstract_inverted_index.$O(\log^{1/6} | 94 |
| abstract_inverted_index.applications. | 258 |
| abstract_inverted_index.decomposition | 175, 189, 222, 240 |
| abstract_inverted_index.deterministic | 100, 139, 171 |
| abstract_inverted_index.significantly | 150 |
| abstract_inverted_index.$\text{tw}(G)$ | 195 |
| abstract_inverted_index.decomposition, | 215 |
| abstract_inverted_index.decomposition. | 220 |
| abstract_inverted_index.representation | 46 |
| abstract_inverted_index.boundary-linked | 218 |
| abstract_inverted_index.constant-degree | 178 |
| abstract_inverted_index.multi-commodity | 104 |
| abstract_inverted_index.$\text{tw}(G)\cdot | 192 |
| abstract_inverted_index.$n^{o(1)}$-approximate | 80 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile |