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We introduce and study the reverse voter model, a dynamics for spin variablessimilar to the well-known voter dynamics. The difference is in the wayneighbors influence each other: once a node is selected and one among itsneighbors chosen, the neighbor is made equal to the selected node, while in theusual voter dynamics the update goes in the opposite direction. The reversevoter dynamics is studied analytically, showing that on networks with degreedistribution decaying as k^{-nu}, the time to reach consensus is linear in thesystem size N for all nu>2. The consensus time for link-update voter dynamicsis computed as well. We verify the results numerically on a class ofuncorrelated scale-free graphs.Comment: 7 pages, 4 figures; to appear in the Proceedings of the 8th Granada  Seminar - Computational and Statistical Physic

Effect of network topology on the ordering dynamics of voter models