• Medientyp: Sonstige Veröffentlichung; E-Artikel; Elektronischer Konferenzbericht
  • Titel: A General Stabilization Bound for Influence Propagation in Graphs
  • Beteiligte: Papp, Pál András [Verfasser:in]; Wattenhofer, Roger [Verfasser:in]
  • Erschienen: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2020
  • Sprache: Englisch
  • DOI: https://doi.org/10.4230/LIPIcs.ICALP.2020.90
  • Schlagwörter: Minority process ; Majority process
  • Entstehung:
  • Anmerkungen: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Beschreibung: We study the stabilization time of a wide class of processes on graphs, in which each node can only switch its state if it is motivated to do so by at least a (1+λ)/2 fraction of its neighbors, for some 0 < λ < 1. Two examples of such processes are well-studied dynamically changing colorings in graphs: in majority processes, nodes switch to the most frequent color in their neighborhood, while in minority processes, nodes switch to the least frequent color in their neighborhood. We describe a non-elementary function f(λ), and we show that in the sequential model, the worst-case stabilization time of these processes can completely be characterized by f(λ). More precisely, we prove that for any ε > 0, O(n^(1+f(λ)+ε)) is an upper bound on the stabilization time of any proportional majority/minority process, and we also show that there are graph constructions where stabilization indeed takes Ω(n^(1+f(λ)-ε)) steps.
  • Zugangsstatus: Freier Zugang