Books & Videos

Table of Contents

  1. Chapter 1 Introduction

    1. Analyzing Relationships to Understand People and Groups

    2. From Relationships to Networks—More Than Meets the Eye

    3. Social Networks vs. Link Analysis

    4. The Power of Informal Networks

    5. Terrorists and Revolutionaries: The Power of Social Networks

  2. Chapter 2 Graph Theory—A Quick Introduction

    1. What Is a Graph?

    2. Graph Traversals and Distances

    3. Graph Distance

    4. Why This Matters

    5. 6 Degrees of Separation is a Myth!

    6. Small World Networks

  3. Chapter 3 Centrality, Power, and Bottlenecks

    1. Sample Data: The Russians are Coming!

    2. Centrality

    3. What Can’t Centrality Metrics Tell Us?

  4. Chapter 4 Cliques, Clusters and Components

    1. Components and Subgraphs

    2. Subgraphs—Ego Networks

    3. Triads

    4. Cliques

    5. Hierarchical Clustering

    6. Triads, Network Density, and Conflict

  5. Chapter 5 2-Mode Networks

    1. Does Campaign Finance Influence Elections?

    2. Theory of 2-Mode Networks

    3. Expanding Multimode Networks

  6. Chapter 6 Going Viral! Information Diffusion

    1. Anatomy of a Viral Video

    2. How Does Information Shape Networks (and Vice Versa)?

    3. A Simple Dynamic Model in Python

    4. Coevolution of Networks and Information

  7. Chapter 7 Graph Data in the Real World

    1. Medium Data: The Tradition

    2. Big Data: The Future, Starting Today

    3. “Small Data”—Flat File Representations

    4. “Medium Data”: Database Representation

    5. Working with 2-Mode Data

    6. Social Networks and Big Data

    7. Big Data at Work

  1. Appendix Data Collection

    1. A Note on the Ethics of Data Collection

    2. The Old-Fashioned Way

    3. Mining Server Logs

    4. Mining Social Media Sites

    5. Twitter Data Collection

    6. Facebook

  2. Appendix Installing Software

    1. Why (We Love) Python?

    2. Exploratory Programming

    3. Python

    4. IPython

    5. NetworkX

    6. matplotlib