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Social Network Analysis for Startups
Finding connections on the social web
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- Table of Contents
- + Preface
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Chapter 1. Introduction
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Chapter 2. Graph Theory—A Quick Introduction
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Chapter 3. Centrality, Power, and Bottlenecks
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Chapter 4. Cliques, Clusters and Components
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Chapter 5. 2-Mode Networks
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Chapter 6. Going Viral! Information Diffusion
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Chapter 7. Graph Data in the Real World
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Appendix A. Data Collection
- + Appendix B. Installing Software
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
Test the closed alpha on paperc.com
Book Details
Authors
Maksim Tsvetovat and Alexander Kouznetsov
Categories
Computers > Social Aspects > General
Publishers
Publication year : 2011
License: All rights reserved ©
Times read: 167
