Haute école de gestion de Genève
Infothèque
Campus de Battelle
Bâtiment F, 4ème étage
Rue de la Tambourine 17
CH-1227 Carouge, Suisse
"How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located? With this expanded and thoroughly revised edition, you’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs.[...] The example code for this unique data science book is maintained in a public GitHub repository. It’s designed to be easily accessible through a turnkey virtual machine that facilitates interactive learning with an easy-to-use collection of IPython Notebooks."[Extrait de la 4ème de couverture]
RUSSEL, Matthew A. Mining the social web : data mining Facebook, Twitter, Linkedin, Google+, Github, and more. 2nd ed. Beijing : O'Reilly, 2014. 421 p. ISBN 9781449367619.