Study on Controllability of Complex Networks

The ability to control a natural or technological system is of paramount importance in science and engineering because it enables us to get a more detail picture of our understanding of those systems. Over the years various analytical tools have been developed to provide a solid framework for controllability of complex networks. A complex network, in context of network theory is a graph with non-trivial topological features. Complex Networks are ubiquitous, they are found in natural, social and man-made systems, such as gene-regulatory networks and mobile sensor networks. In our work we apply the various tools developed to real networks and calculate the number of driver nodes, which is mainly dependent on degree distribution of the network.