Social Network Analysis for Startups: Finding connections on the social web
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.
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LibraryThing ReviewUser Review - trilliams - LibraryThing
Good introductory book on social network analysis. Nothing too complicated, currently using this stuff for a work project, found it helpful enough. Read full review
Chapter 2 Graph TheoryA Quick Introduction
Chapter 3 Centrality Power and Bottlenecks
Chapter 4 Cliques Clusters and Components
Chapter 5 2Mode Networks
Chapter 6 Going Viral Information Diffusion
Chapter 7 Graph Data in the Real World
Appendix A Data Collection
Appendix B Installing Software