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          <dc:title>Dynamic Connectivity in Disk Graphs</dc:title>
          <dc:creator>Kaplan, Haim</dc:creator>
          <dc:creator>Kauer, Alexander</dc:creator>
          <dc:creator>Klost, Katharina</dc:creator>
          <dc:creator>Knorr, Kristin</dc:creator>
          <dc:creator>Mulzer, Wolfgang</dc:creator>
          <dc:creator>Roditty, Liam</dc:creator>
          <dc:creator>Seiferth, Paul</dc:creator>
          <dc:subject>Disk Graphs</dc:subject>
          <dc:subject>Connectivity</dc:subject>
          <dc:subject>Lower Envelopes</dc:subject>
          <dc:description>Let S ⊆ ℝ² be a set of n planar sites, such that each s ∈ S has an associated radius r_s &gt; 0. Let 𝒟(S) be the disk intersection graph for S. It has vertex set S and an edge between two distinct sites s, t ∈ S if and only if the disks with centers s, t and radii r_s, r_t intersect. Our goal is to design data structures that maintain the connectivity structure of 𝒟(S) as sites are inserted and/or deleted.&#13;
First, we consider unit disk graphs, i.e., r_s = 1, for all s ∈ S. We describe a data structure that has O(log² n) amortized update and O(log n/log log n) amortized query time. Second, we look at disk graphs with bounded radius ratio Ψ, i.e., for all s ∈ S, we have 1 ≤ r_s ≤ Ψ, for a Ψ ≥ 1 known in advance. In the fully dynamic case, we achieve amortized update time O(Ψ λ₆(log n) log⁷ n) and query time O(log n/log log n), where λ_s(n) is the maximum length of a Davenport-Schinzel sequence of order s on n symbols. In the incremental case, where only insertions are allowed, we get logarithmic dependency on Ψ, with O(α(n)) query time and O(logΨ λ₆(log n) log⁷ n) update time. For the decremental setting, where only deletions are allowed, we first develop an efficient disk revealing structure: given two sets R and B of disks, we can delete disks from R, and upon each deletion, we receive a list of all disks in B that no longer intersect the union of R. Using this, we get decremental data structures with amortized query time O(log n/log log n) that support m deletions in O((nlog⁵ n + m log⁷ n) λ₆(log n) + nlog Ψ log⁴n) overall time for bounded radius ratio Ψ and O((nlog⁶ n + m log⁸n) λ₆(log n)) for arbitrary radii.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Haim Kaplan and Alexander Kauer and Katharina Klost and Kristin Knorr and Wolfgang Mulzer and Liam Roditty and Paul Seiferth</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 224, 38th International Symposium on Computational Geometry (SoCG 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SoCG.2022.49</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-160572</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2022.49</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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