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PHYS 7332 (Network Science Data)

Welcome to PHYS 7332 (Network Science Data)

Class 0: Introduction to the Course, Github, Computing Setup
Class 1: Python Refresher, Data Structures, Numpy
Class 2: Introduction to Networkx 1 — Graph Objects, Properties, Importing Data
Class 3: Introduction to Networkx 2 — Graph Properties & Algorithms
Class 4: Distributions of Network Properties & Centralities
Class 5: Scraping Web Data 1 - BeautifulSoup & HTML
Class 6: Constructing a Network from Scraped Data
Class 7: Big Data 1 — Algorithmic Complexity & Computing Paths
Class 8: Data Science 1 — Pandas, SQL, Regressions
Class 9: Data Science 2 — Querying SQL Tables for Network Construction
Class 10: Clustering & Community Detection 1 — Traditional
Class 11: Clustering & Community Detection 2 — Contemporary
Class 12: Visualization 1 — Python
Class 14: Machine Learning 1: Color-Coding Cambridge
Class 15: Machine Learning 2 — Building up to Graph Convolutional Networks
Class 16: Dynamics on Networks 1 — Diffusion and Random Walks
Class 17: Dynamics on Networks 2 — Compartmental Models
Class 18: Dynamics on Networks 3 — Agent-Based Models
Class 19: What To Do When Your Data Seems Too Big
Class 20: Network Sampling (Theory)
Class 21: Sampling Networks
Class 23: Dynamic of Networks: Temporal Networks
Class 24: Spatial Data, OSMNX, GeoPandas

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By Matteo Chinazzi, Qian Zhang, Brennan Klein, and Alyssa Smith

© Copyright 2024.