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November 2005


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"Classification, clustering, and phylogeny estimation" <[log in to unmask]>
Andreas Nuernberger <[log in to unmask]>
Thu, 3 Nov 2005 12:26:20 +0100
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"Classification, clustering, and phylogeny estimation" <[log in to unmask]>
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Network Analysis in Natural Sciences and Engineering
         April 4th-6th 2006

part of
         AISB'06: Adaptation in Artificial and Biological Systems
         University of Bristol, Bristol, England

Aims & Scope:
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.

Both graph theory and techniques recently developed for the analysis of
networks provide a substantial background for studying complex network
structures and dynamics in artificial and biological systems. They allow
us to answer questions in common to these networks like aspects of
adaptability, error and attack tolerance, complexity, community
structures, and propagation patterns. One of the key features of natural
networks is their ability to adapt to changing environments while
maintaining an appropriate pattern of behaviour. Such adaptive capacity
can be found in a whole range of natural networks, from gene-protein
interaction networks within individual cells, through physiological
systems, to ecosystems.

The aim of this symposium is to provide a forum to bring together
scientists from biology, computer science and related disciplines who
are concerned with theoretical and applied network analysis and
modelling in the context of diverse disciplines, the adaptability in
natural networks, and its application to artificial networks.
Furthermore, the symposium will serve as a forum for interdisciplinary
discussions to promote a comprehensive view of the state of the art in
this field and to identify emerging and future research issues.

The topics of interest include, but are not limited to:
     * Adaptability in biological networks
     * Mining and learning from network data
     * Prediction of structural network properties
     * Network dynamics
     * Network topology
     * Community structures
     * Topological motifs
     * Pattern mining
     * Social network analysis in human and animal societies
     * Genetic regulatory and protein interaction networks
     * Robustness issues
     * Complexity issues
     * Model selection and sampling in networks
     * Massive graph mining
     * Information networks
     * Applications of network theory

Important Dates:
December 15th 2005:   Submission of tutorial proposals
January 15th 2006:    Submission of papers
February 5th 2006:    Notification of decision
February 20th 2006:   Camera ready papers

Submissions in form of an extended abstract of at least 1500 word (2
pages) should be submitted until January 15th 2006. More detailed
information can be found at the symposia web site:

EU Project NiSIS (Nature-inspired Smart Information Systems)