[alife] 2nd CfP: Session on Complex Networks @ ALife XII (extended deadline)

[Carlos Gershenson]

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Call for Papers

Session on Complex Networks

at

ALife XII: 12th International Conference on the Synthesis and  
Simulation of Living Systems

Odense, Denmark, 19-23 August 2010

Coordinators: Mikhail Prokopenko and Carlos Gershenson

http://www.prokopenko.net/ComplexNetworks.html
Motivation

Many complex systems are amenable to be described as networks. These  
include genetic regulatory, structural or functional cortical  
networks, ecological systems, metabolism of biological species, author  
collaborations, interaction of autonomous systems in the Internet,  
etc. A recent trend suggests to study common global topological  
features of such networks, e.g. network diameter, clustering  
coefficients, assortativity, modularity, community structure, etc.

Various network growth models have also been proposed and studied to  
emulate the features of the real-world networks, e.g. the preferential  
attachment model, which explains scale-free power law degree  
distributions observed in many real-world networks.

Another direction is to investigate network motifs and subgraphs in  
order to understand and analyse the local structure and function of  
networks. The presence of a certain motif in a network may mean that  
that motif plays an important role in the overall functionality of the  
network. Thus, functionality of specific motifs, including their  
information processing and control functions, is a challenging topic  
relevant in Artificial Life studies, such as genetic regulatory  
networks, cell signaling networks, and protein interaction networks.

In addition, propagation and processing of information within networks  
may be analysed as (Shannon) information dynamics. Such analysis  
requires to consider not only networks' topology, but also the time- 
series dynamics at individual nodes. Specific topics of interest  
include phase transitions of network properties between ordered and  
chaotic regimes, where information transfer is often maximised, and  
other nonlinear phenomena related to criticality in networks.
Goal

The intention of the session is to bring together researchers from  
both Artificial Life and Complex Networks communities, in order to  
facilitate cross-fertilization, increase exposure of both communities  
to relevant research and foster new collaborations.

Guest Lecture

Prof. John-Dylan Haynes, Bernstein Center for Computational  
Neuroscience, Berlin
Submission

Contributions to the Session should be prepared and submitted  
according to the ALife guidelines, available at http://alifexii.org/submissions/ 
. There are two types of submission: papers (8 pages max) and  
abstracts (500 words max). Every submission will be subject to full  
peer review. All accepted submissions will be allocated an oral  
presentation slot with no distinction being made between the two  
submission formats.
Publications

Every accepted full-paper and abstract submission will be published by  
MIT Press in the ALife online open-access proceedings.  A special  
issue of the MIT Press journal Artificial Life would follow, inviting  
researchers to expand the work presented at the session.
Important Dates

Paper submission: March 31, 2010
Paper notification: May 7, 2010
Camera-ready: May 31, 2010
Conference: August 19-23, 2010

Organizers

Dr. Mikhail Prokopenko
CSIRO, Australia
http://www.prokopenko.net/

Dr. Carlos Gershenson
UNAM, Mexico
http://turing.iimas.unam.mx/~cgg/