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        <datestamp>2024-03-06T10:55:21Z</datestamp>
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          <dc:title>The Impact of Geometry on Monochrome Regions in the Flip Schelling Process</dc:title>
          <dc:creator>Bläsius, Thomas</dc:creator>
          <dc:creator>Friedrich, Tobias</dc:creator>
          <dc:creator>Krejca, Martin S.</dc:creator>
          <dc:creator>Molitor, Louise</dc:creator>
          <dc:subject>Agent-based Model</dc:subject>
          <dc:subject>Schelling Segregation</dc:subject>
          <dc:subject>Spin System</dc:subject>
          <dc:description>Schelling’s classical segregation model gives a coherent explanation for the wide-spread phenomenon of residential segregation. We introduce an agent-based saturated open-city variant, the  Flip Schelling Process (FSP), in which agents, placed on a graph, have one out of two types and, based on the predominant type in their neighborhood, decide whether to change their types; similar to a new agent arriving as soon as another agent leaves the vertex.&#13;
We investigate the probability that an edge {u,v} is monochrome, i.e., that both vertices u and v have the same type in the FSP, and we provide a general framework for analyzing the influence of the underlying graph topology on residential segregation. In particular, for two adjacent vertices, we show that a highly decisive common neighborhood, i.e., a common neighborhood where the absolute value of the difference between the number of vertices with different types is high, supports segregation and, moreover, that large common neighborhoods are more decisive.&#13;
As an application, we study the expected behavior of the FSP on two common random graph models with and without geometry: (1) For random geometric graphs, we show that the existence of an edge {u,v} makes a highly decisive common neighborhood for u and v more likely. Based on this, we prove the existence of a constant c &gt; 0 such that the expected fraction of monochrome edges after the FSP is at least 1/2 + c. (2) For Erdős-Rényi graphs we show that large common neighborhoods are unlikely and that the expected fraction of monochrome edges after the FSP is at most 1/2 + o(1). Our results indicate that the cluster structure of the underlying graph has a significant impact on the obtained segregation strength.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Thomas Bläsius and Tobias Friedrich and Martin S. Krejca and Louise Molitor</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 212, 32nd International Symposium on Algorithms and Computation (ISAAC 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2021.29</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-154623</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2021.29</dc:identifier>
          <dc:language>eng</dc:language>
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