Network Generators and Artificial Scientists

Models explaining network morphology and growth processes permit a wide range of phenomena to be more systematically analyzed and understood. At the same time, creating such models is often challenging and requires insights that may be counter-intuitive. We have developed an approach to automatically detect realistic decentralized network growth models from empirical data, employing a […]