Dresden 2017 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 13: Complex Systems
DY 13.4: Vortrag
Montag, 20. März 2017, 18:15–18:30, ZEU 147
Opinion Spreading in the Adaptive Voter Model by Zealots with Excess Degree — •Pascal Klamser1,2, Marc Wiedermann1,2, Jonathan Donges2,3, and Reik Donner2 — 1Humboldt Universität, Berlin — 2Potsdam Institut für Klimafolgenforschung, Potsdam — 3Stockholm Universität, Stockholm
The (adaptive) voter model is widely studied as a benchmarking toy model for opinion formation processes on time evolving networks. Past studies on the effect of zealots only considered the voter model on a static network. Here, we extend the idea of zealotry to the case of a temporal network and investigate the opinion spreading by the zealots depending on their initial fraction and degree. Numerical simulations reveal that the spreading efficiency is strongly coupled with the fragmentation transition. An analytical representation of the model verifies the numerical findings. In order to avoid a dominance of the zealots opinion, voters must adjust their rate of rewiring as well as the number of connections with other voters, respectively.