This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific discip

This book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains dive

This elementary book provides some state-of-the-art research results on broad disciplinary sciences on complex networks. It presents an in-depth study with deta

The availability of large data sets have allowed researchers to uncover complex properties such as large scale fluctuations and heterogeneities in many networks

Evolutionary algorithms constitute a class of well-known algorithms, which are designed based on the Darwinian theory of evolution and Mendelian theory of herit