Complex Webs synthesises modern mathematical developments with a broad range of complex network applications of interest to the engineer and system scientist, presenting the common principles, algorithms, and tools governing network behaviour, dynamics, and complexity. The authors investigate multiple mathematical approaches to inverse power laws and expose the myth of normal statistics to describe natural and man-made networks. Richly illustrated throughout with real-world examples including cell phone use, accessing the Internet, failure of power grids, measures of health and disease,...

Through insights into the science of complexity, traditional physiology is replaced with fractal physiology, in which variability is more indicative of health than is an average. This work explores how the idea of an average value has been misapplied to medical phenomena, distorted understanding and lead to flawed medical decisions.