The impact of variable commitment in the Naming Game on consensus formation.
The Naming Game has proven to be an important model of opinion dynamics in complex networks. It is significantly enriched by the introduction of nodes committed to a single opinion. The resulting model is still simple but captures core concepts of opinion dynamics in networks. This model limitation is rigid commitment which never changes. Here we study the effect that making commitment variable has on the dynamics of the system. Committed nodes are assigned a commitment strength, w, defining their willingness to lose (in waning), gain (for increasing) or both (in variable) commitment to an opinion. Such model has committed nodes that can stick to a single opinion for some time without losing their flexibility to change it in the long run. The traditional Naming Game corresponds to setting w at infinity. A change in commitment strength impacts the critical fraction of population necessary for a minority consensus. Increasing w lowers critical fraction for waning commitment but increases this fraction for increasing commitment. Further, we show that if different nodes have different values of w, higher standard deviation of w increases the critical fraction for waning commitment and decrease this fraction for increasing commitment.
Rensselaer Polytechnic Institute, Social Cognitive Networks Academic Research Center, Troy, NY, 12180, USA.|Rensselaer Polytechnic Institute, Department of Computer Science, Troy, NY, 12180, USA.
Xiang
X
Niu
Rensselaer Polytechnic Institute, Social Cognitive Networks Academic Research Center, Troy, NY, 12180, USA.|Rensselaer Polytechnic Institute, Department of Physics, Applied Physics, and Astronomy, Troy, NY, 12180, USA.
Casey
C
Doyle
Rensselaer Polytechnic Institute, Social Cognitive Networks Academic Research Center, Troy, NY, 12180, USA.|Rensselaer Polytechnic Institute, Department of Physics, Applied Physics, and Astronomy, Troy, NY, 12180, USA.
Gyorgy
G
Korniss
Rensselaer Polytechnic Institute, Social Cognitive Networks Academic Research Center, Troy, NY, 12180, USA.|Rensselaer Polytechnic Institute, Department of Computer Science, Troy, NY, 12180, USA.
Boleslaw K
BK
Szymanski