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PHYS 7332: Network Science Data & Models (Fall 2025)
PHYS 7332: Network Science Data & Models – Fall 2025
Chapter 00: Introduction and Setup
Chapter 01: Python Refresher
Chapter 02: Introduction to Networkx 1
Chapter 03: Introduction to Networkx 2
Chapter 04: Distributions of Network Properties & Centralities
Chapter 05: Scraping Web Data 1 - BeautifulSoup & HTML
Chapter 06: Data Science 1 — Pandas, SQL, Regressions
Chapter 07: Data Science 2 — SQL for Network Construction
Chapter 08: Clustering & Community Detection 1 — Traditional
Chapter 09: Clustering & Community Detection 2 — Contemporary
Chapter 12: Visualization 1 — Python and Matplotlib
Chapter 13: Visualization 2 — Advanced Python
Chapter 14: Machine Learning 1 - General
Chapter 15: Machine Learning 2 - Graph Convolutional Networks
Chapter 16: Dynamics on Networks 1 — Diffusion and Random Walks
Chapter 17: Dynamics on Networks 2 — Compartmental Models
Chapter 18: Dynamics on Networks 3 — Agent-Based Models
Chapter 19: Graph Distance Measures
Chapter 20: Dynamics of Networks: Temporal Networks
Chapter 21: Network Sparsification
Chapter 22: Network Sampling
Chapter 23: Link Prediction
Chapter 24: Spatial Data, OSMNX, GeoPandas
Chapter 25: Spectral Properties of Graphs
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