The 1st SDM Workshop on Dynamic Network Analysis is designed to be a common-themed interdisciplinary workshop that bridges social networks, communication networks, and biological networks. The aim is to attract researchers/practitioners from multiple scientific disciplines into a fruitful discussion about the the state-of-the-art techniques and applications of network analysis in diverse domains. To this end, we expect participation from computational areas such as Data Mining, Machine Learning, Statistics, Applied Mathematics, as well as life sciences and inter-disciplinary fields such as Computational Biology, Biostatistics and Biophysics. It is our expectation that this workshop would present an attractive venue to bring together researchers and practitioners from diverse backgrounds and provide a forum to foster a new cross-disciplinary research community.

We solicit high quality papers in the general areas of network analysis including novel computational techniques for network construction, mining and analysis as well as novel applications of these computational tools in diverse disciplines such as Social Sciences, Computer Science, Life Sciences and Biology.
Topics of interest include but are not limited to:

1. Constructing useful information networks from raw datasets

2. Analysis and inferences of structure, behavior and causality from information networks

3. Evolution of patterns and communities in networks

4. Link and trend prediction

5. Time-series Analysis

6. Content-based analysis

7. Analysis of temporal dynamics in networks

8. Data mining and machine learning algorithms for networks

9. Qualitative and quantitative models and metrics

10. Applications of network analysis in Web, social, biological, clinical and computer science

All submitted papers will be peer reviewed. If accepted, at least one of the authors must attend the workshop to present the work. Selected accepted papers will be recommended for submission to special issues of journals.

Workshop Chairs:
Sitaram Asur (HP Labs) : sitaram.asur (at) hp.com
Duygu Ucar (Stanford) : ducar (at) stanford.edu

For more information and instructions on submissions:
https://sites.google.com/site/dnasdm/