From its beginnings in the work of Euler in the eighteenth century, network science has grown enormously and become a valuable tool for studying the behaviour of interacting systems or agents. The development of network science in the last few decades has taken place across a number of disciplines, including mathematics, statistics, physics, computer science and engineering. This workshop brought together researchers from different areas of both theory and application to exchange ideas and learn about advances and open problems in the other disciplines. Furthermore, it fostered long-term collaborations between theoretical and applied researchers, and between researchers in the UK and India.
The topics for the survey talks were random graph models and dynamical processes, statistical physics models and critical phenomena, the economics of network formation, network models for social science and the applications of network models in systems biology.
The research talks covered graph models and dynamics on graphs in probability and statistical physics, network science in economics and social science, network science in biology and neuroscience, network models and algorithms in communications and computer science and statistical analysis and inference networks.
This workshop was part of the EPSRC-DST Indo-UK Initiative in Applied Mathematics.
