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MS#45. Dynamics from Communications Data, 1988
- J. Social Biol. Struct., October, 1989.
- Subjects: Psychology
- Written: Oct. 1988
- Abstract: To create a complex dynamical model for a complex system,
it
is normally necessary to have a directed graph of
the network, a dynamical model for each
node, and a coupling function for each
directed edge. But in many
applications, the only observable data consists of
communications
from one node to another. In this situation, the modeler may
infer a complex dynamical model for the network without
any explicit knowledge of the independent dynamical behavior
of the component systems (nodes).
Here we present one procedure for this type
of modeling problem, inspired by the attractor
reconstruction procedure of chaos theory.
Part of this proposal consists of a strategy
for computer graphic presentation of the
interactive dynamics of the complex system
(or social network of dynamical schemes)
called a
netscope.
We can imagine applications to diverse situations,
such as decision groups, management, forecasting,
international relations, classroom monitoring,
therapy (personal, family, group, etc.) and
distributed processors, to name a few.
- [PDF] 9 pages, 1 MB
Last revised
by Ralph Abraham
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