介绍社交网络中数据挖掘的基本情况~
Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xiii
1. Introduction: Hacking on Twitter Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Installing Python Development Tools 1
Collecting and Manipulating Twitter Data 3
Tinkering with Twitter’s API 4
Frequency Analysis and Lexical Diversity 7
Visualizing Tweet Graphs 14
Synthesis: Visualizing Retweets with Protovis 15
Closing Remarks 17
2. Microformats: Semantic Markup and Common Sense Collide . . . . . . . . . . . . . . . . . . 19
XFN and Friends 19
Exploring Social Connections with XFN 22
A Breadth-First Crawl of XFN Data 23
Geocoordinates: A Common Thread for Just About Anything 30
Wikipedia Articles + Google Maps = Road Trip? 30
Slicing and Dicing Recipes (for the Health of It) 35
Collecting Restaurant Reviews 37
Summary 40
3. Mailboxes: Oldies but Goodies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
mbox: The Quick and Dirty on Unix Mailboxes 42
mbox + CouchDB = Relaxed Email Analysis 48
Bulk Loading Documents into CouchDB 51
Sensible Sorting 52
Map/Reduce-Inspired Frequency Analysis 55
Sorting Documents by Value 61
couchdb-lucene: Full-Text Indexing and More 63
Threading Together Conversations 67
Look Who’s Talking 73
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