REGISTRATION IS CLOSED. Participants were requested to pre-register and confirmation of approved applicants were emailed on or before February 16st. Confirmed participants can access their record at here.
Due to the large number of applications, we regret that RSVP is now closed to new applicants.
SCIENTIFIC BACKGROUND
The interconnection of many dynamical units to form a complex system can
lead to unexpected collective behavior. This dynamics depends upon both
the individual characteristics of the participating units, as well as the
topological character and properties of the network of their connections.
This workshop will focus on gaining understanding of general principles
and techniques of analysis that will be of broad use in the many
applications where networked system dynamics is a significant issue.
Another aim of the workshop will be to highlight particularly important
examples of applications where the issue of network dynamics arises.
Understanding the dynamics of networked systems is becoming an
increasingly important and essential component in many areas of science
and technology. Examples include social networks, communication and
computer networks,
gene networks, networks of neurons, etc.
Dynamics on such networks include such problems as synchronization of
temporal behavior of units composing a network,
robustness of function to network damage (either intended or unintended),
etc.
The dynamics of networks themselves (i.e., change of network topological
structure with time) is also an essential issue in many cases. Examples of
issues in this area include adaptive evolution of network topology,
formation and growth of networks, etc.
It is intended that all of the above, as well as related issues, will be open for discussion at this workshop. The two overarching goals of the workshop will be
To contribute to the understanding of common, basic principles of network dynamics, and
To uncover useful general analysis techniques for the study of these systems
A limited amount of funding for participants at all levels is available, especially for researchers in the early stages of their career who want to attend the full program.
Center for Scientific Computation And Mathematical Modeling (CSCAMM)
Computer Science Instructional Center (Building #406)
University of Maryland, College Park
College Park, MD 20742-3289
