Tutorials

Short, worked walkthroughs — plain-language explanation first, then a real Stata command, then the actual console output that command produces. If you’d rather look up a specific command directly, see the command reference.

Foundations

1. Installation & Setup — installing nwcommands, the “Network Analysis” menu, updating vs. pinning a version
2. Core Concepts — what a “network” is in nwcommands, the current-network model, working alongside ordinary Stata variables
3. Importing & Exporting — edgelists, UCINET/Pajek formats, and built-in example datasets

Working with networks

1. Visualization — plot styling, network movies
2. Generating Networks — random, small-world, preferential-attachment, and lattice networks, useful for teaching and simulation
3. Manipulating Networks — subsetting, collapsing, symmetrizing, recoding, dichotomizing

Analysis

1. Centrality — degree, betweenness, closeness, eigenvector, PageRank, Katz
2. Paths & Ego Networks — geodesics, reachability, ego-network extraction

Statistical modeling

1. Intro to ERGM in Stata — what an exponential-family random graph model is, and a minimal nwergm example
2. Intro to Longitudinal Network Models — a conceptual orientation to stochastic actor-oriented models (nwsaom) and relational event models (nwrem)

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Table of contents

• Installation & Setup
• Core Concepts
• Importing & Exporting
• Visualization
• Generating Networks
• Manipulating Networks
• Centrality
• Paths & Ego Networks
• Intro to ERGM in Stata
• Intro to Longitudinal Network Models