Название: Algorithms and Models for Network Data and Link Analysis
Автор: Francois Fouss, Marco Saerens, Masashi Shimbo
Издательство: Cambridge University Press
Год: 2016
Страниц: 534
Формат: PDF
Размер: 17 Mb
Язык: English
Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data.