Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites

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"O'Reilly Media, Inc.", Jan 14, 2011 - Computers - 356 pages

Want to tap the tremendous amount of valuable social data in Facebook, Twitter, LinkedIn, and Google+? This refreshed edition helps you discover who’s making connections with social media, what they’re talking about, and where they’re located. You’ll learn how to combine social web data, analysis techniques, and visualization to find what you’ve been looking for in the social haystack—as well as useful information you didn’t know existed.

Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.

  • Get a straightforward synopsis of the social web landscape
  • Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, LinkedIn, and Google+
  • Learn how to employ easy-to-use Python tools to slice and dice the data you collect
  • Explore social connections in microformats with the XHTML Friends Network
  • Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
  • Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits

"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data."
--Alex Martelli, Senior Staff Engineer, Google

 

Selected pages

Contents

Hacking on Twitter Data
1
Semantic Markup and Common Sense Collide
19
Oldies but Goodies
41
Friends Followers and Setwise Operations
83
The Tweet the Whole Tweet and Nothing but the Tweet
119
Clustering Your Professional Network for Fun and Profit?
167
TFIDF Cosine Similarity and Collocations
201
Natural Language Processing and Beyond
239
The AllinOne Wonder
271
A Cocktail Discussion
313
Index
321
Copyright

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Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and ...
Matthew Russell
Limited preview - 2011

Common terms and phrases

access token algorithm analysis analyzing basic bigram blog Buzz chapter client cliques clustering collocations compute connections corpus['a cosine similarity CouchDB couchdb-lucene database document easy_install Facebook fetch Figure freq frequency friend_ids friends function Gmail Google Graph API Green hashtags hReview ID values implementation import json import import sys import interactive interesting Jaccard Index job titles JustinBieber LinkedIn login map/reduce mbox metric microformats module n-gram n2vip NLTK nodes numpy O’Reilly OAuth open source output parse prettytable provides Python query recipe Redis rereduce response.status retweeted sample score screen_name script semantic semantic web sentence server simple social network social web sys.stderr tag cloud TeaParty techniques term TF-IDF there’s thread Tim’s timoreilly tweet entities tweets Twitter Twitter API twitter__util import vector visualization

Bibliographic information

TitleMining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
AuthorMatthew A. Russell
Editionrevised
Publisher"O'Reilly Media, Inc.", 2011
ISBN1449303935, 9781449303938
Length356 pages
Subjects ›  › 

Computers / Internet / Social Media
Computers / Internet / Web Programming
Computers / Programming / General
Computers / Software Development & Engineering / General
  
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