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        <identifier>oai:drops-oai.dagstuhl.de:23255</identifier>
        <datestamp>2026-09-05T18:24:00Z</datestamp>
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          <dc:title>Computing the Exact Radius of Large Graphs</dc:title>
          <dc:creator>Funke, Stefan</dc:creator>
          <dc:creator>Proissl, Claudius</dc:creator>
          <dc:creator>Storandt, Sabine</dc:creator>
          <dc:subject>Radius</dc:subject>
          <dc:subject>Graph Center</dc:subject>
          <dc:subject>LP-type</dc:subject>
          <dc:subject>Combinatorial Dimension</dc:subject>
          <dc:description>The radius of a graph is an important structural parameter which plays a key role in social network analysis and related applications. It measures the minimum shortest path distance that is required to reach all nodes in the graph from a single node. A node from which all other nodes are within a distance equal to the radius is called a center of the graph. In a graph with n nodes and m edges, the center and the radius can be determined in Õ(nm) by computing shortest path distances between all pairs of nodes. Fine-grained complexity results suggest that asymptotically faster algorithms are unlikely to exist. In this paper, we describe a novel randomized algorithm for exact radius computation in weighted digraphs with an expected running time in Õ(d³m) where d is the so-called combinatorial dimension. Our methodology is inspired by Clarkson’s algorithm for LP-type problems. The value of d denotes the size of a basis, which is a smallest subset of nodes which enforce the same radius as the whole node set. While we show that there exist graphs with d ∈ Θ(n), our empirical analysis reveals that even large real-world graphs have small combinatorial dimension. This allows us to compute the radius in near-linear time on such instances. The significantly improved scalability can be clearly observed in our experimental evaluation on a diverse set of benchmark graphs.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Stefan Funke and Claudius Proissl and Sabine Storandt</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 338, 23rd International Symposium on Experimental Algorithms (SEA 2025)</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.SEA.2025.17</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-232555</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SEA.2025.17</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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