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Dienstag, 23. März 2010

STCAN 2010 - Special Track on State-Topology Coevolution in Adaptive Networks

CALL FOR PAPERS

                             STCAN 2010:
   Special Track on State-Topology Coevolution in Adaptive Networks

                          In BIONETICS 2010

            December 1-3, 2010, Boston, Massachusetts, USA

               http://www.bionetics.org/sp/stcan.shtml

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Aim and Scope

Complex network research has so far addressed mostly either "dynamics on networks" (state transition on a network with a fixed topology) or "dynamics of networks" (topological transformation of a network with no dynamic state changes). In many real-world complex biological and social networks, however, these two dynamics interact with each other and coevolve over the same time scales. Modeling and predicting state-topology coevolution is now recognized as one of the most significant challenges in complex network science.

This Special Track solicits theoretical, computational, experimental and/or application-oriented research on any aspects of the state-topology coevolution of complex networks---either biological, social, or engineered. Its goals are to promote the growth of a research community on this emerging new field of network research, to help develop a common conceptual "language" for modeling, analyzing
and discussing the state-topology coevolution of various real-world complex adaptive networks, and thereby to galvanize interdisciplinary discussion and collaboration across many different areas of applications.

The relevant topics of interest include, but are not limited to:

* Theoretical foundations
* Mathematical/analytical approaches
* Statistical/machine learning approaches
* Computational modeling/simulation tools
* Real-world examples
* Applications to biological network modeling
* Applications to social network modeling
* Applications to engineered network design
* Historical review

==========
Track Chairs

Hiroki Sayama
Binghamton University, State University of New York, USA
sayama@binghamton.edu

Thilo Gross
Max Planck Institute for the Physics of Complex Systems, Germany
thilo.gross@physics.org

==========
Program Committee Members

Alain Barrat (Centre de Physique Théorique, Marseille, France)
Kevin Bassler (University of Houston, USA)
René Doursat (ISC-PIF, France)
Gourab Ghoshal (Northeastern University, USA)
Chrystopher Nehaniv (University of Hertfordshire, UK)
Jorge Pacheco (Universidade do Minho, Portugal)
Reiji Suzuki (Nagoya University, Japan)
Leah Shaw (College of William and Mary, USA)
Kohji Tomita (AIST, Japan)

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Paper Submission Instructions

Authors are invited to submit papers in the following categories:

  * Regular papers: Up to 15 pages
  * Short papers: Up to 2 pages
  * Work-in-progress papers: Up to 6 pages
  * Demo papers: Up to 4 pages

Submissions must be in the Springer LNCS format (http://www.springeronline.com/lncs/). All papers will be handled electronically. Please visit http://www.bionetics.org/submissions.shtml for detailed submission requirements and procedures.

==========
Important Dates

Regular paper submission due: July 16
Short, work-in-progress and demo paper submission due: September 19
Notification of acceptance for regular papers: September 12
Notification of acceptance for other papers: September 30
Camera ready due: October 10

==========
Publication

All accepted paper will be published by Springer. A selected number of best papers will be considered for publication in leading journals such as:

  * ACM Trans. on Autonomous and Adaptive Systems
  * Int'l Journal of Autonomous and Adaptive Communications Systems
  * Elsevier Nano Communication Networks Journal

==========
Contact

Hiroki Sayama, D.Sc.
Director, Collective Dynamics of Complex Systems Research Group
Assistant Professor, Department of Bioengineering
Binghamton University, State University of New York
Affiliate, New England Complex Systems Institute
P.O. Box 6000, Binghamton, NY 13902-6000
Tel 1-607-777-4439, Fax 1-607-777-5780
Email: sayama@binghamton.edu
http://bingweb.binghamton.edu/~sayama/
http://coco.binghamton.edu/

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