Moduleco 2 - Concepts de la modélisation dynamique 2.1.c Diffusion and Criticality in Marketing : Neural Evolutive Social Network

In this model, social network is formalized as a neuronal network with a small degree of connectivity (say in average 1,5%). After learning, some people will became the center of larger network (say in average 10%) as act as kind of "leader of opinion". as a result, we have an inhomogeneous process of diffusion, with classical S- shaped curve, but non classical increments, whic are following a power law distribution.

From Plouraboué, Steyer, Zimmermann [1998] Deroïan [1999], Steyer, Zimmerman [2000], Deroïan, Steyer Zimmerman [2000]

for more informations see :

http://www-eco.enst-bretagne.fr/~phan/complexe/fpasjbz.htm

Denis.Phan@enst-bretagne.fr ;  Antoine Beugnard@enst-bretagne.fr