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Social Network Analysis for Startups: Finding Connections on the Social Web

4.04 of 5 stars 4.04  ·  rating details  ·  45 ratings  ·  5 reviews
Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available.

Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in
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ebook, 192 pages
Published September 27th 2011 by O'Reilly Media (first published January 1st 2011)
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Chris Kerns
Great primer for using Python to mine connections, understand influence, and easily write your own code to mine different social networks for insights. Still keep this on my Kindle as a reference.
Espen
Concise and well-written (like most O'Reilly stuff) book on basic social network analysis, complete with (Python, Unix-based) code and examples. You can ignore the code samples if you want to just read the book (I was able to replicate some of them using UCINet, a network analysis tool).

Liked it. Recommended.
Tristan Williams
Good introductory book on social network analysis. Nothing too complicated, currently using this stuff for a work project, found it helpful enough.
Wael Al-alwani
Truly amazing book. It introduces startups (= beginners) to the great world of social network analysis, a sub filed in a wider field called computational social science. The book inspired me with many ideas. Very recommended read.
Vuk Trifkovic
Good introduction to graph theory in general, but nothing spectacular. Still a very good intro and some good Russian stories & jokes...
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