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like model, to account for the inuence of a changing topology on the level of
cooperation achieved by the system. The conclusions point out that such a modeling
approach might be an important ingredient towards more realistic models of cultural
dynamics.
The Chapter by Frasca et al. deals with models of collective behaviors in animal
groups. The social complex organization of an animal group undergoes many shape
and structural changes over time and space, and has been the subject of study
from many years as a way to learn from natural systems how motion of dierent
units can be coordinated. The Chapter address recent ndings about both the
structure and the dynamics of coordination models. The Chapter concludes with a
discussion about the applications of the models treated and their usefulness in many
contexts such as distributed sensing, search and rescue, environmental modeling
and surveillance and what should be the minimum ingredients needed to design
decentralized coordination and control strategies in engineering systems.
The last Chapter of the topic, contributed by T. Gross, addresses one of the
rst problems in which the inuence of the network topology was evidenced the
spreading of a disease. The author discusses the role of state-topology interplay in
epidemics dynamics by working out a model in which not only the structure aects
the way the epidemics spread but also the dynamics induce topological changes. In
particular, the conceptual model introduced incorporates a mechanism of rewiring
that depends on the dynamical states of the network nodes and produces an increase
of the invasion threshold concurrent to a persistence threshold which is below the
former. The author concludes the Chapter by discussing several aspects of the model
analyzed and many open questions on the epidemiology of adaptive networks.
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