中文名: 挖掘社交網絡
原名: Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
作者: Matthew A. Russell
圖書分類: 軟件
資源格式: PDF
版本: 英文文字版/EPUB/更新源代碼
出版社: O'Reilly
書號: 978-1449388348
發行時間: 2011年02月08日
地區: 美國
語言: 英文
簡介:

內容簡介：
Popular social networks such as Facebook and Twitter generate a tremendous amount of valuable data on topics and use patterns. Who’s talking to whom? What are they talking about? How often are they talking?
This concise and practical book shows you how to answer these questions and more by harvesting and analyzing data using social web APIs, Python tools, GitHub, HTML5, and JavaScript.
內容截圖：

目錄:
Chapter 1 Introduction: Hacking on Twitter Data
Chapter 2 Microformats: Semantic Markup and Common Sense Collide
Chapter 3 Mailboxes: Oldies but Goodies
Chapter 4 Twitter: Friends, Followers, and Setwise Operations
Chapter 5 Twitter: The Tweet, the Whole Tweet, and Nothing but the Tweet
Chapter 6 LinkedIn: Clustering Your Professional Network for Fun (and Profit?)
Chapter 7 Google Buzz: TF-IDF, Cosine Similarity, and Collocations
Chapter 8 Blogs et al.: Natural Language Processing (and Beyond)
Chapter 9 Facebook: The All-in-One Wonder
Chapter 10 The Semantic Web: A Cocktail Discussion
Colophon