Early fragmentation in the adaptive voter model on directed networks

Gerd Zschaler*, Gesa A. Böhme, Michael Seißinger, Cristián Huepe, Thilo Gross

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

48 Scopus citations


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.

Original languageEnglish (US)
Article number046107
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Issue number4
StatePublished - Apr 13 2012

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics


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