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          <dc:title>Brief Announcement: Phase Transitions of the k-Majority Dynamics in a Biased Communication Model</dc:title>
          <dc:creator>Cruciani, Emilio</dc:creator>
          <dc:creator>Mimun, Hlafo Alfie</dc:creator>
          <dc:creator>Quattropani, Matteo</dc:creator>
          <dc:creator>Rizzo, Sara</dc:creator>
          <dc:subject>Biased Communication</dc:subject>
          <dc:subject>Consensus</dc:subject>
          <dc:subject>Majority Dynamics</dc:subject>
          <dc:subject>Markov Chains</dc:subject>
          <dc:subject>Metastability</dc:subject>
          <dc:description>We analyze the binary-state (either ℛ or ℬ) k-majority dynamics in a biased communication model where nodes have some fixed probability p, independent of the dynamics, of being seen in state ℬ by their neighbors. In this setting we study how p, as well as the initial unbalance between the two states, impact on the speed of convergence of the process, identifying sharp phase transitions.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Emilio Cruciani and Hlafo Alfie Mimun and Matteo Quattropani and Sara Rizzo</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 179, 34th International Symposium on Distributed Computing (DISC 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.DISC.2020.42</dc:identifier>
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          <dc:language>eng</dc:language>
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