Librería Portfolio

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



Table of Contents
Chapter 1 Introduction
Analyzing Relationships to Understand People and Groups
From Relationships to Networks-More Than Meets the Eye
Social Networks vs. Link Analysis
The Power of Informal Networks
Terrorists and Revolutionaries: The Power of Social Networks
Chapter 2 Graph Theory-A Quick Introduction
What Is a Graph?
Graph Traversals and Distances
Graph Distance
Why This Matters
6 Degrees of Separation is a Myth!
Small World Networks
Chapter 3 Centrality, Power, and Bottlenecks
Sample Data: The Russians are Coming!
Centrality
What Can't Centrality Metrics Tell Us?
Chapter 4 Cliques, Clusters and Components
Components and Subgraphs
Subgraphs-Ego Networks
Triads
Cliques
Hierarchical Clustering
Triads, Network Density, and Conflict
Chapter 5 2-Mode Networks
Does Campaign Finance Influence Elections?
Theory of 2-Mode Networks
Expanding Multimode Networks
Chapter 6 Going Viral! Information Diffusion
Anatomy of a Viral Video
How Does Information Shape Networks (and Vice Versa)?
A Simple Dynamic Model in Python
Coevolution of Networks and Information
Chapter 7 Graph Data in the Real World
Medium Data: The Tradition
Big Data: The Future, Starting Today
"Small Dataö-Flat File Representations
"Medium Dataö: Database Representation
Working with 2-Mode Data
Social Networks and Big Data
Big Data at Work
Appendix Data Collection
A Note on the Ethics of Data Collection
The Old-Fashioned Way
Mining Server Logs
Mining Social Media Sites
Twitter Data Collection
Facebook
Appendix Installing Software
Why (We Love) Python?
Exploratory Programming
Python
IPython
NetworkX
matplotlib