It has become increasingly clear that economies can fruitfully be viewed as networks, consisting of millions of nodes (households, firms, banks, etc.) connected by business, social, and legal relationships. These relationships shape many outcomes that economists often measure. Over the past few years, research on production networks has flourished, as economists try to understand supply-side dynamics, default cascades, aggregate fluctuations, and many other phenomena. Economic Networks provides a brisk introduction to network analysis that is self-contained, rigorous, and illustrated with many figures, diagrams and listings with computer code. Network methods are put to work analyzing production networks, financial networks, and other related topics (including optimal transport, another highly active research field). Visualizations using recent data bring key ideas to life.

Chapter 1: Introduction
Motivation
Spectral Theory
Probability
Graph Theory
Chapter 2: Production
Multisector Models
General Equilibrium
Additional Spectral Theory
Chapter 3: Optimal Flows
Shortest Paths
Linear Programming and Duality
Optimal Transport
Chapter 4: Markov Chains and Networks
Markov Chains as Directed Graphs
Asymptotic Behavior
Chapter 5: Nonlinear Interactions
Fixed Point Theory
Financial Networks
Appendices
Appendix A: Math Review
Appendix B: Solutions to Selected Exercises