Social Network Analysis for Startups

Finding connections on the social web

Nonfiction, Computers
Cover of the book Social Network Analysis for Startups by Maksim Tsvetovat, Alexander Kouznetsov, O'Reilly Media
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Maksim Tsvetovat, Alexander Kouznetsov ISBN: 9781449317621
Publisher: O'Reilly Media Publication: September 27, 2011
Imprint: O'Reilly Media Language: English
Author: Maksim Tsvetovat, Alexander Kouznetsov
ISBN: 9781449317621
Publisher: O'Reilly Media
Publication: September 27, 2011
Imprint: O'Reilly Media
Language: English

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 social media, political groups, companies, cultural trends, and interpersonal networks. You'll also learn how to use Python and other open source tools—such as NetworkX, NumPy, and Matplotlib—to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas.

  • Discover how internal social networks affect a company’s ability to perform
  • Follow terrorists and revolutionaries through the 1998 Khobar Towers bombing, the 9/11 attacks, and the Egyptian uprising
  • Learn how a single special-interest group can control the outcome of a national election
  • Examine relationships between companies through investment networks and shared boards of directors
  • Delve into the anatomy of cultural fads and trends—offline phenomena often mediated by Twitter and Facebook
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 social media, political groups, companies, cultural trends, and interpersonal networks. You'll also learn how to use Python and other open source tools—such as NetworkX, NumPy, and Matplotlib—to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas.

More books from O'Reilly Media

Cover of the book WordPress: The Missing Manual by Maksim Tsvetovat, Alexander Kouznetsov
Cover of the book Practical PostgreSQL by Maksim Tsvetovat, Alexander Kouznetsov
Cover of the book Machine Learning with Python Cookbook by Maksim Tsvetovat, Alexander Kouznetsov
Cover of the book Technisches SEO by Maksim Tsvetovat, Alexander Kouznetsov
Cover of the book Windows XP Power Hound by Maksim Tsvetovat, Alexander Kouznetsov
Cover of the book CSS: The Missing Manual by Maksim Tsvetovat, Alexander Kouznetsov
Cover of the book You Don't Know JS: Up & Going by Maksim Tsvetovat, Alexander Kouznetsov
Cover of the book STL Pocket Reference by Maksim Tsvetovat, Alexander Kouznetsov
Cover of the book LDAP System Administration by Maksim Tsvetovat, Alexander Kouznetsov
Cover of the book Snort Cookbook by Maksim Tsvetovat, Alexander Kouznetsov
Cover of the book Java: The Good Parts by Maksim Tsvetovat, Alexander Kouznetsov
Cover of the book Linux System Programming by Maksim Tsvetovat, Alexander Kouznetsov
Cover of the book Linux Networking Cookbook by Maksim Tsvetovat, Alexander Kouznetsov
Cover of the book Managing Infrastructure with Puppet by Maksim Tsvetovat, Alexander Kouznetsov
Cover of the book Essential SNMP by Maksim Tsvetovat, Alexander Kouznetsov
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy