[alife] Special Issue of AICom on "Network Analysis in Natural Sciences and Engineering"

[S Hoche]

                                                           Call for papers:

                                      Special Issue of AI Communications 
Journal on
                                                             Guest Editors
                                     Susanne Hoche, Andreas Nuernberger, 
Peter Flach


Network analysis and modelling address a wide spectrum of techniques for 
studying domains consisting
of individuals that are linked together into complex networks. Networks 
refer to artificial and natural
systems like communication networks, social networks and biological 
networks. They constitute a very
active area of research in a variety of scientific disciplines, 
including Physics, Biology, Artificial
Intelligence and Mathematics.

More recently, the study of artificial networks has gained increased 
attention in diverse areas of
application such as genetic regulatory networks, social networks, 
bibliographic networks and the
world wide web. Both graph theory and techniques developed for the 
analysis of social networks
provide a substantial background for studying the structure, dynamics 
and evolution of such complex
biological and artificial  networks. They allow us to study aspects such 
as fault tolerance,
adaptability, complexity, information flow, community structures and 
propagation patterns.

With this special issue of AI Communications  we wish to explore the 
state of the art in theoretical
and applied network analysis and modelling in the context of diverse 
disciplines. We are especially
interested in submissions that discuss relations and similarities 
between natural and artificial networks.
The topics of interest include, but are not limited to:

* Mining and learning from network data
* Prediction of structural network properties
* Network dynamics
* Network topology
* Evolution of networks
* Community structures
* Topological motifs
* Pattern mining
* Social network analysis in human and animal societies
* Genetic regulatory and protein interaction networks
* Robustness issues
* Complexity issues
* Adaptability in biological networks
* Model selection and sampling in networks
* Massive graph mining
* Information networks
* Applications of network theory

AI Communications Journal:
AI Communications is the European journal of Artificial Intelligence,  
published by
the European Coordinating Committee for Artificial Intelligence 
(http://www.eccai.org/).
More information  about the journal can be found at 
http://aicom.web.cse.unsw.edu.au/.


Submissions must be original. Work  cannot be previously published, 
pending publication or under
review for any another journal. The journal will, however, publish work 
that has appeared in a
conference or workshop proceedings. Please consult 
http://aicom.web.cse.unsw.edu.au/charter.html
for the journals editorial charter.

Submission:
Papers should be submitted electronically in postscript or pdf format to 
Susanne Hoche <hoche at cs.bris.ac.uk>
and Andreas Nuernberger <nuernb at iws.cs.uni-magdeburg.de>  by the 31st of 
December 2006. Please refer to the
AI Communications' formatting details "for the authors" at 
http://aicom.web.cse.unsw.edu.au/.

Important dates:
Intent to submit                31.10.06
Submission of papers      31.12.06
Author notification          28.02.07
Revised versions due      31.03.07

Susanne Hoche, Andreas Nuernberger and Peter Flach

Guest Editors
AI Communications journal Special Issue on
"Network Analysis in Natural Sciences and Engineering"