Call for Papers

From the World Wide Web to the chemical reactions among proteins in yeast, interacting entities can be represented as networks. Network analysis provides a unifying language to describe relations within these complex systems. Over the past decade, computational methods have been developed to infer, analyze, and predict the structure of interaction networks in many contexts. The majority of these approaches have focused on the topology, rather than the dynamics of these networks. Yet most systems represented by networks change over time. Therefore, in addition to a description of these networks as collections of nodes and edges, researchers have began to elucidate dynamic properties of such networks.

The goal of the proposed workshop is to bring together research in the context of analysis of social, electronic, biological and other network analysis to: 1) develop a combined understanding of the fundamental problems in describing the structure and dynamics of interacting entities; 2) develop an understanding of the variety and availability of data sources; and 3) evaluate the current computational approaches to the analysis of evolving interaction networks. We aim to further the development of a computational framework in which one can model, discover and analyze complex interaction systems as they form and evolve.

We invite contributions presenting new computational methods for analysis of interaction networks that explicitly address the dynamic nature of these networks, new models of dynamic behavior of networks, or applications of dynamic network analysis in various contexts. Papers presenting new methods should provide experimental or empirical evidence of the performance of the new methods.

In this context, submission topics can include, but are not limited to:

- Modeling dynamic behavior of networks

- Network structure prediction

- Analysis of spreading processes in networks

- Community structure inference

- Search and routing in dynamic networks

- Identification of critical nodes

- Comparison of dynamic networks

- Visualization of dynamic networks

Other topics within the subject area are welcome. Note, that all submitted papers should demonstrate the relevance to this topic. If unsure whether your paper fits the session theme, please contact one of the co-chairs.

Paper submissions should be limited to a maximum of 10 pages in the IEEE 2-column format (see the IEEE Computer Society Press Proceedings Author Guidelines)

All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to dynamic network analysis, originality, significance, and clarity.