Mining the social web / Matthew A. Russell.

Format:

Book

Author/Creator:

Russell, Matthew A.

Language:

English

Subjects (All):

Data mining.

Online social networks.

Genre:

Electronic books.

Physical Description:

1 online resource (356 p.)

Edition:

First edition.

Other Title:

Mining the social web : analyzing data from Facebook, Twitter, LinkedIn, and other social media sites

Place of Publication:

Beijing ; Sebastopol, California : O'Reilly, 2011.

Language Note:

English

System Details:

text file

Summary:

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

Contents:

Table of Contents; Preface; Content Updates; February 22, 2012; To Read This Book?; Or Not to Read This Book?; Tools and Prerequisites; Conventions Used in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Acknowledgments; Chapter 1. Introduction: Hacking on Twitter Data; Installing Python Development Tools; Collecting and Manipulating Twitter Data; Tinkering with Twitter's API; Frequency Analysis and Lexical Diversity; What are people talking about right now?; Extracting relationships from the tweets; Visualizing Tweet Graphs

Synthesis: Visualizing Retweets with ProtovisClosing Remarks; Chapter 2. Microformats: Semantic Markup and Common Sense Collide; XFN and Friends; Exploring Social Connections with XFN; A Breadth-First Crawl of XFN Data; Brief analysis of breadth-first techniques; Geocoordinates: A Common Thread for Just About Anything; Wikipedia Articles + Google Maps = Road Trip?; Plotting geo data via microform.at and Google Maps; Slicing and Dicing Recipes (for the Health of It); Collecting Restaurant Reviews; Summary; Chapter 3. Mailboxes: Oldies but Goodies; mbox: The Quick and Dirty on Unix Mailboxes

mbox + CouchDB = Relaxed Email AnalysisBulk Loading Documents into CouchDB; Sensible Sorting; Map/Reduce-Inspired Frequency Analysis; Frequency by date/time range; Frequency by sender/recipient fields; Sorting Documents by Value; couchdb-lucene: Full-Text Indexing and More; Threading Together Conversations; Look Who's Talking; Visualizing Mail "Events" with SIMILE Timeline; Analyzing Your Own Mail Data; The Graph Your (Gmail) Inbox Chrome Extension; Closing Remarks; Chapter 4. Twitter: Friends, Followers, and Setwise Operations; RESTful and OAuth-Cladded APIs; No, You Can't Have My Password

A Lean, Mean Data-Collecting MachineA Very Brief Refactor Interlude; Redis: A Data Structures Server; Elementary Set Operations; Souping Up the Machine with Basic Friend/Follower Metrics; Calculating Similarity by Computing Common Friends and Followers; Measuring Influence; Constructing Friendship Graphs; Clique Detection and Analysis; The Infochimps "Strong Links" API; Interactive 3D Graph Visualization; Summary; Chapter 5. Twitter: The Tweet, the Whole Tweet, and Nothing but the Tweet; Pen : Sword :: Tweet : Machine Gun (?!?); Analyzing Tweets (One Entity at a Time); Tapping (Tim's) Tweets

What entities are in Tim's tweets?Do frequently appearing user entities imply friendship?; Splicing in the other half of the conversation; Who Does Tim Retweet Most Often?; What's Tim's Influence?; How Many of Tim's Tweets Contain Hashtags?; Juxtaposing Latent Social Networks (or #JustinBieber Versus #TeaParty); What Entities Co-Occur Most Often with #JustinBieber and #TeaParty Tweets?; On Average, Do #JustinBieber or #TeaParty Tweets Have More Hashtags?; Which Gets Retweeted More Often: #JustinBieber or #TeaParty?

How Much Overlap Exists Between the Entities of #TeaParty and #JustinBieber Tweets?

Notes:

Includes index.

Includes bibliographical references.

Description based on online resource; title from PDF title page (ebrary, viewed October 7, 2013).

ISBN:

9781449303938

1449303935

9781449304164

1449304168

OCLC:

780425411