Soma Sanyal Postdoctoral Research Associate.                                      Cyberinfrastructure for Network Science Center. School of Library and Information Science, Indiana University. Wells Library 026, 1320 East 10th Street. Bloomington, Indiana 47405. E-mail :  ssanyal AT indiana.edu

Recent publications List of pre-prints and publications. Some links to present research:                                                  Annotated bibliography of papers. 1) Bipartite Networks. 2) Feedback in networks. Brief review of analytical models in citation and co-authorship networks. Previous research:                   Topological Defects. Foams.

I am presently working on the project, Modeling the structure and evolution of scholarly knowledge, funded by the James S. McDonnell Foundation. The project leads are Dr. Katy Börner and Dr. Robert Goldstone. The project aims to model the structure and evolution of scholarly knowledge on a global scale. I am interested in developing better analytical models to understand the evolution and diffusion of scientific knowledge based on the principles of statistical mechanics, which have been very successful in explaining other complex systems. Complex systems are now in the forefront of research based on the large amount of data and computational power avaliable to experimentally verify analytical models. Analytical models give us a general overview of the factors affecting the dynamics of the system and provide insights into the universality governing them. Diffusion of scientific knowledge takes place through networks of scientific articles and scientists themselves. Citation and co-authorship networks provide a quantitative way of looking at knowledge diffusion. More information about this project can be obtained at our project webpage. Being a member of the InfoVisLab and the Cyberinfrastructure for Network Science Center lead by Dr. Katy Börner, I am also actively involved in documenting and validating algorithms being incorporated into a Network Science toolkit as part of the Network Workbench Project. The project leads are Dr. K. Börner, Prof. A.-L. Barabási, Professor, Department of Physics, University of Notre Dame, Prof. S. Schnell, Assistant Professor, Informatics, Associate Director of the Biocomplexity Institute, Prof. A. Vespignani, Professor, School of Informatics, Indiana University, Prof. S. Wasserman, Professor, Department of Statistics, Sociology, Psychological and Brain Sciences, and E. A. Wernert, Associate Director, Research & Academic Computing, UITS Indiana University. The tool will support research, practice, and education in various scientific disciplines. It aims to provide scientists with a platform to model, analyze, and visualize their own data with the most effective algorithms available. Simultaneously, it also supports the easy integration of new algorithms and their efficient dissemination across scientific boundaries.