CNET5051 (Analyzing Complex Network Data) course reviews and ratings at Northeastern (NEU). Compare professors with RateMyProfessor reviews.
Presents an overview of the core data scientific skills required to analyze complex networks.Through hands-on lectures, labs, and projects, exercises actionable skills about network analysis techniques using Python (in particular, the NetworkX library). Covers the basics of network analysis including data input/output, network statistics, and visualization.Explores instruction in random graph models and algorithms for computing network properties such as path lengths, clustering, degree distributions, and community structure. Offers students an opportunity to develop web scraping skills and introduces the vast landscape of software tools for analyzing complex networks. Concludes with a large-scale final project to demonstrate proficiency in network analysis.
Data updated October 2026.