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11 Socio-Economic Modeling
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           Fig. 11.3. Hongkong: in the thin w = O(1)-part of the Pareto distribution



           tial differential equation of Fokker–Planck type for the distribution of money
           among individuals. This diffusion-convection equation reads:
                                       2
                              ∂f    λ ∂          ∂
                                 =        v f +     (v − m)f  .             (11.8)
                                           2
                               ∂t   2 ∂v 2      ∂v
           In (11.8) m is the mean wealth,

                                     m =    vf (v, t) dv ,
                                          +
           which is time-conserved assuming that f hasbeenscaledtobeaprobability
           density. The same Fokker–Planck equation was obtained in [2] as the mean field
           limit of a stochastic equation, as well as in [9,14] in the context of generalized
           Lotka–Volterra dynamics.
              The equilibrium state of the Fokker–Planck equation can be computed ex-
           plicitly and is of Pareto type, namely it is characterized by a power-law tail for
           the richest individuals. By assuming for simplicity m = 1wefind:

                                                       μ−1
                                               μ exp −
                                         (μ −1)         v
                                 f ∞ (v) =                                  (11.9)
                                          Γ(μ)      v 1+μ
           where
                                               2
                                       μ = 1+    > 1.
                                               λ
              We remark that the tails of the Pareto steady state of the Fokker–Planck
                                                     2
           equation are related to the coefficients s and σ which appear in the collision
                           2
           rule (11.6), with σ /s = λ!
              Another important field in which microscopic kinetic models describing
           the collective behavior and self-organization in a society [16] can be fruitfully
           employed is the modeling of opinion formation (cfr. [1,13,15] and the references
           therein).
              In these studies, formation of opinion is described by mean field model equa-
           tions. They are in general systems of ordinary differential equations or partial
           differential equations of diffusive type. In [1], attention is focused on two aspects
           of opinion formation, which in principle could be responsible for the formation
           of coherent structures. The first one is the remarkably simple compromise pro-
           cess, in which pairs of agents reach a fair compromise after exchanging opinions.
           The second one is a diffusion process, which allows individual agents to change
           their opinions in a random diffusive fashion. While the compromise process has
           its basis in the human tendency to settle conflicts, diffusion accounts for the pos-
           sibilitythatpeoplemaychangeopinionthroughaccesstoinformation.Atpresent
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