Speaker
Prof.
Kimmo Kaski
(Aalto University)
Description
Here we model the dynamics of opinion formation in human
societies by a co-evolution process involving two distinct
time scales of fast transaction and slower network evolution
dynamics. In the transaction dynamics we take into account
short-range interactions as discussions between individuals
and long-range interactions to describe the attitude to the
overall mood of society. The latter is handled by a
uniformly distributed parameter, assigned randomly to each
individual, as quenched personal bias. The network evolution
dynamics is realized by rewiring the societal network due to
state variable changes as a result of transaction dynamics.
The main consequence of this complex dynamics is that
communities emerge in the social network for a range of
values in the ratio between time scales. In this paper we
focus our attention on the attitude parameter $\alpha$ and
its influence on the conformation of opinion and the size of
the resulting communities. We present numerical studies and
extract interesting features of the model that can be
interpreted in terms of social behaviour.
