Early fragmentation in the adaptive voter model on directed networks

G. Zschaler, G A Boehme, M Seissinger, C Huepe, T Gross

Research output: Contribution to journalArticle (Academic Journal)peer-review

41 Citations (Scopus)

Abstract

We consider voter dynamics on a directed adaptive network with fixed out-degree distribution. A transition between an active phase and a fragmented phase is observed. This transition is similar to the undirected case if the networks are sufficiently dense and have a narrow out-degree distribution. However, if a significant number of nodes with low out degree is present, then fragmentation can occur even far below the estimated critical point due to the formation of self-stabilizing structures that nucleate fragmentation. This process may be relevant for fragmentation in current political opinion formation processes.
Translated title of the contributionEarly fragmentation in the adaptive voter model on directed networks
Original languageEnglish
Article number046107
Number of pages9
JournalPhysical Review E: Statistical, Nonlinear, and Soft Matter Physics
Volume85
DOIs
Publication statusPublished - 2012

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