2018
DOI: 10.1137/16m1105979
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Discordant Voting Processes on Finite Graphs

Abstract: We consider an asynchronous voting process on graphs called discordant voting, which can be described as follows. Initially each vertex holds one of two opinions, red or blue. Neighbouring vertices with different opinions interact pairwise along an edge. After an interaction both vertices have the same colour. The quantity of interest is the time to reach consensus, i.e. the number of steps needed for all vertices have the same colour. We show that for a given initial colouring of the vertices, the expected ti… Show more

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Cited by 7 publications
(16 citation statements)
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“…So usually many idle rounds go by before the opinion of some vertex is altered. This example demonstrates the advantage of discordant (oblivious, push, pull) voting protocols, defined in [3]. An edge uv is discordant if u and v have different opinion, and a vertex is discordant if it is in a discordant edge.…”
Section: Introductionmentioning
confidence: 93%
See 3 more Smart Citations
“…So usually many idle rounds go by before the opinion of some vertex is altered. This example demonstrates the advantage of discordant (oblivious, push, pull) voting protocols, defined in [3]. An edge uv is discordant if u and v have different opinion, and a vertex is discordant if it is in a discordant edge.…”
Section: Introductionmentioning
confidence: 93%
“…In particular, the expected times to absorption from each transient state as initial state are the coordinates of the vector N 1; see [13] for further details. The following lemma is the basic observation of the elementary method we use to improve the upper estimations for the expected time to absorption presented in [3]. We can think about x[t] as a "guesstimate" of the expected value of the sum of the entries of u during a random walk with initial state t before reaching an absorbing state.…”
Section: General Toolsmentioning
confidence: 99%
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“…In stark contrast to the oblivious protocol, the push and pull protocols can exhibit very different expected times to consensus, which depend strongly on the structure of underlying graph in question (see [3] for more detail). For example, on the complete graph K n , starting from an initial colouring where half the vertices are red and half blue, then ET (Push) = Θ(n log n), whereas ET (Pull) = Θ(2 n ).…”
Section: Introductionmentioning
confidence: 99%