"In the past decade, the study of networks has increased dramatically. Researchers from across the sciences--including biology and bioinformatics, computer science, economics, engineering, mathematics, physics, sociology, and statistics--are more and more involved with the colle…
This text provides an up-to-date treatment of the foundations common to the statistical analysis of network data across the disciplines. The material is organized according to a statistical taxonomy, although the presentation entails a conscious balance of concepts versus mathem…
This text provides an up-to-date treatment of the foundations common to the statistical analysis of network data across the disciplines. The material is organized according to a statistical taxonomy, although the presentation entails a conscious balance of concepts versus mathem…
This text provides an up-to-date treatment of the foundations common to the statistical analysis of network data across the disciplines. The material is organized according to a statistical taxonomy, although the presentation entails a conscious balance of concepts versus mathem…