TY - JOUR
T1 - Early fragmentation in the adaptive voter model on directed networks
AU - Zschaler, Gerd
AU - Böhme, Gesa A.
AU - Seißinger, Michael
AU - Huepe, Cristián
AU - Gross, Thilo
PY - 2012/4/13
Y1 - 2012/4/13
N2 - 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.
AB - 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.
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U2 - 10.1103/PhysRevE.85.046107
DO - 10.1103/PhysRevE.85.046107
M3 - Article
C2 - 22680538
AN - SCOPUS:84860538870
SN - 1539-3755
VL - 85
JO - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
JF - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
IS - 4
M1 - 046107
ER -