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RWCNS 2010 : Symposium on Real-World Complex Networked Systems


When Oct 3, 2010 - Oct 8, 2010
Where Kos, Greece
Submission Deadline May 4, 2010
Notification Due Jun 1, 2010
Final Version Due Jun 15, 2010
Categories    complex networks   real-world networks

Call For Papers

It is our pleasure to invite you to participate in the symposium on Real-World Complex Networked Systems ( musial/rwcns.html) that is held as a part of the 8th International Conference of Computational Methods in Sciences and Engineering (
One of the most challenging areas in Knowledge Engineering are Complex Networked Systems, ranging from the infrastructure networks that include virtual and physical networks to the natural networks including biological and social systems as well as food webs. The analysis of such complex systems and networks is at the very early stages and requires a lot of effort in both developing the tools and approaches to tackle them as well as understanding the nature and functioning of such networks.

Each complex networked system consists of thousands or millions highly interconnected dynamical units whose behaviour is time-dependent, i.e. time
factor cannot be neglected during analysis. The structure of complex networks is irregular and constantly evolving. The organization of these networks typically implies a skewed distribution of relations with many hubs, strong heterogeneity and high clustering as well as non-trivial temporal evolution.
Complex networks are inherently difficult to understand, as the following list of possible complications illustrates: (i) Structural complexity: the wiring
diagrams could be an intricate tangle, (ii) Network evolution: the wiring diagram could change over time, (iii) Connection diversity: the links between nodes
could have different weights, directions and signs, (iv) Dynamical complexity: the nodes could be nonlinear dynamical systems, (v) Node diversity: there could be many different types of nodes, (vi) Meta-complication: the various complications can influence each other.

The identified above challenges result in four research areas on which the symposium will focus:
• Understanding network structure,
• Understanding network dynamics,
• Understanding the interplay between topology and function of complex networks,
• Investigating such phenomena occurring in complex networks, and
• Predictive modeling and simulation for complex networked systems.

The area of complex networked systems brings together researchers and practitioners from different fields and the main goal of this symposium is to provide
for these people the opportunity to share their visions, research achievements and solutions as well as to establish worldwide cooperative research and development. At the same time, we want to provide a platform for discussing research topics underlying the concepts of networked systems by inviting members of different communities that share this common interest of investigating complex networked structures.

As the area of complex networked systems is a highly cross-disciplinary one, we aim to foster and develop sustainable collaborations between Computer Sci-
ence and Informatics, Engineering, Physics, Cognitive Science and Psychology, Geographic and Environmental Science, Biology, and Health and Social Sciences
This will give the opportunity to push further the discussion upon the potential of complex networked systems across these communities.

Topics of interest
• Models for structural network analysis,
• Models for network emergence and growth,
• Nature inspired (esp. physics-inspired) methods for dynamic network analysis,
• Phases and predictions in complex networks,
• Change detection and pattern recognition in complex networks,
• Individual and group evolution,
• Collective behaviour in complex networks,
• Dynamics of strong and weak ties,
• Stability of complex networked structures,
• Epidemics and spread of disease-like phenomena in complex networks,
• Dynamics of diseases, ideas and information spread,
• Synchronisation phenomena,
• Critical phenomena in complex networked systems: cascade failures, phase transitions or network decomposition,
• Evolutionary network management,
• Predictive power of complex networks, the limits of predictability,
• Relationship between global attributes and local interaction patterns,
• Prospective application areas of network science.

Important Dates
• Deadline for paper submission: 4 May 2010
• Notification of acceptance: 1 June 2010
• Camera ready papers submission: 15 June 2010
• Early Registration: 30 April 2010
• Normal Registration: 15 June 2010
(for registration form see
• Late Registration: 31 August 2010
• Conference: 3-8 October 2010

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