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Figure 7.3.
The typical time series of a single two-state node in a web of the ensemble. The solid line refers
to a positive initial state and the dashed line to a negative initial state. The number of nodes in
the single web of the ensemble is 10 5 , the unperturbed transition rate is g = 0 . 01 and the
coupling parameter is K =
.
;
1
05
redrawn from [ 15 ] with permission.
Figure 7.3 confirms the prediction of ( 7.20 ), showing that if
( ) = min the single
two-state node spends on average more time in the state r
=
1 and if
( ) =− min
the single node spends on average more time in the state r
2. The probability density
functions for the sojourn times both in the preferred and in the non-preferred states are
exponential functions with different mean sojourn times.
=
7.1.3
Stochastic approximation to a synchronized web
Let us now explore the collective behavior of a single web of N two-state nodes under
the all-to-all coupling condition. In order to do this Bianco et al. [ 15 ] introduced a
familiar collective phase variable. The global web variable is defined as
N
1
N
N 1 (
t
)
N 2 (
t
)
e i j ( t ) =
ξ(
t
)
;
(7.21)
N
j
=
1
j is the phase of the j th node and has the value of 0 if the node is in state r
=
1
and
π
if the node is in the state r
=
2, N 1 (
t
)
is the number of nodes in the former
state at time t and N 2 (
is the number of nodes in the latter state at time t .Inthe
decision-making model this is the difference between those voting for a candidate and
those voting against. In the mean-field case, when N
t
)
, the single web becomes a
statistical ensemble of identical nodes. In this case the master equation for the network
is ( 7.9 ), where p r is the probability that any node in the ensemble is in the state r .
Consequently, from the definition of the web variable, we obtain in the mean-field limit
→∞
ξ(
t
) =
p 1 (
t
)
p 2 (
t
) = (
t
).
(7.22)
 
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