挖掘社交网络(Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, a

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资源信息： 中文名: 挖掘社交网络 原名: Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites 作者: Matthew A. Russell 图书分类: 软件 资源格式: PDF 版本: 英文文字版/EPUB/更新源代码 出版社: O'Reilly 书号: 978-1449388348 发行时间: 2011年02月08日 地区: 美国 语言: 英文 概述:

内容简介： 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. 内容截图：

目录: 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