Convergence of Trajectories and Stability of Fixed Points in a Modified Hegselmann-Krause Model
Author(s):
Nikolay Knyazev
Student of Faculty of Mathematics and Computer Science,
St. Petersburg State University
knyaz03@mail.ru
Sergei Yurievich Pilyugin
Doctor of Physical and Mathematical Sciences, Professor of Faculty
of Mathematics and Computer Science, St. Petersburg State University
sergeipil47@mail.ru
Abstract:
In this paper, we study a modified Hegselmann-Krause
model of opinion dynamics based on the bounded confidence principle.
This model is formulated as a discontinuous and nonlinear dynamical
system. At any time moment of the process of opinion formation,
the operator of forming the next opinion of an agent is two-step;
first, one takes the average of opinions of agents sharing similar opinions
plus his/her own; in the second step, a regularization procedure is
performed. A new regularization procedure is applied. We find conditions
under which every trajectory tends to a fixed point of the system
and study stability properties of fixed points.
Keywords
- bounded confidence principle
- convergence of trajectories
- Hegselmann - Krause model
- Opinion dynamics
- stability of fixed points
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