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 contribution | Early fragmentation in the adaptive voter model on directed networks |
|---|---|
| Original language | English |
| Article number | 046107 |
| Number of pages | 9 |
| Journal | Physical Review E: Statistical, Nonlinear, and Soft Matter Physics |
| Volume | 85 |
| DOIs | |
| Publication status | Published - 2012 |
Research Groups and Themes
- Engineering Mathematics Research Group
Fingerprint
Dive into the research topics of 'Early fragmentation in the adaptive voter model on directed networks'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver