CIF 2013 - The 3rd IEEE International Workshop on Complex Information Flows

The aim of this workshop is to discuss and advance the state-of-the-art, research and development in the area of complex systems, with an emphasis on information flow in such structures. This year’s focus is on the modeling, analysis, design and control of these complex networks. How can we extract relevant information from very large networks? How can we design networks that are optimal in terms of information diffusion? What are the best techniques, or hardware solutions, for such tasks? The workshop will be of interest to researchers across different disciplines, from academia as well as industry.
Theme and Scope of the Workshop
Complex systems are characterized by the presence of intricate interactions between their heterogeneous parts, and an overall behavior which can not be easily explain by the properties of these individual components. For such systems, it is therefore particularly interesting to focus on how information flows between these parts, in terms of dynamical and statistical properties. This flow may represent data on a communication network, financial market interactions, gene interactions, or even a disease spreading within a population.
Due to their complexity, the analysis of such systems is not trivial. They are associated with large datasets, which require advanced techniques. Similarly, prediction implies the development of refined models and simulation tools. Such developments are often only possible high-performance computing. Cloud computing also emerges as a suitable option in some cases, and several presentations at this workshop will look at these alternatives.
Any submission whose content is relevant to the areas of data analysis, computational modeling, networks and complex systems will be considered, but any submission whose subject matter is related to one of the following topics will be particularly welcome:
? Analysis and modeling of large-scale networks (e.g. communication networks, social networks)
- Modeling and design of complex networks
- Tools and metrics for large networks
- Information diffusion in communication networks
? Towards e-Health: biomedical and social systems
- Network approaches in genetics and epigenetics
- Personalized medicine
- Population studies: alert systems, epidemic modeling, etc.
- Big (bio-)data: biological and medical data analysis
? New solutions for computationally-intensive problems
- HPC for data analytics
- Cloud computing
- Pre-computation
- Optimization approaches to complex systems
? Tools and Case-studies
- Applications, experience reports and case studies in data
- Applications, experience reports and case studies in computational modeling
- Tools for large-scale data analysis
Submission
Papers must be submitted electronically via the CIF 2013 Submission Page once it becomes available.
Follow the IEEE Computer Society Press Proceedings Author Guidelines to prepare your papers: http://www.computer.org/portal/web/cscps/submissio....
All papers will be carefully reviewed by at least three reviewers. Papers can be submitted as regular papers (six pages), and the acceptance will depend on reviewer feedback. Accepted papers will be published in the workshop proceedings of the IEEE Computer Software and Applications Conference (COMPSAC 2013) by the IEEE CS Press. At least one of the authors of each accepted paper or fast abstract must register as a full participant of the workshop to have the paper or fast abstract published in the proceedings. Each accepted paper must be presented in person by an author.