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          <dc:title>The String of Diamonds Is Tight for Rumor Spreading</dc:title>
          <dc:creator>Angel, Omer</dc:creator>
          <dc:creator>Mehrabian, Abbas</dc:creator>
          <dc:creator>Peres, Yuval</dc:creator>
          <dc:subject>randomized rumor spreading</dc:subject>
          <dc:subject>push&amp;pull protocol</dc:subject>
          <dc:subject>asynchronous time model</dc:subject>
          <dc:subject>string of diamonds</dc:subject>
          <dc:description>For a rumor spreading protocol, the spread time is defined as the first time that everyone learns the rumor. We compare the synchronous push&amp;pull rumor spreading protocol with its asynchronous variant, and show that for any n-vertex graph and any starting vertex, the ratio between their expected spread times is bounded by O(n^{1/3} log^{2/3} n). This improves the O(sqrt n) upper bound of Giakkoupis, Nazari, and Woelfel (in Proceedings of ACM Symposium on Principles of Distributed Computing, 2016). Our bound is tight up to a factor of O(log n), as illustrated by the string of diamonds graph.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Omer Angel and Abbas Mehrabian and Yuval Peres</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 81, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:language>eng</dc:language>
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