on GitHub
Educational materials for the textbook 'A First Course in Network Science', including Python tutorials, datasets, and Jupyter notebooks.
What is on GitHub?
A First Course in Network Science is a collection of educational resources accompanying the Cambridge University Press textbook of the same name. It provides tutorials, datasets, and teaching materials to help students learn network science through hands-on programming exercises. The materials cover fundamental concepts like small-world networks, hubs, communities, and network dynamics using real-world examples.
Undergraduate and graduate students from diverse fields including informatics, business, computer science, biology, physics, and social sciences who need to understand network analysis. Also valuable for instructors teaching network science courses.
It offers a practical, accessible introduction to network science without requiring advanced mathematics or programming background. The hands-on tutorials with real datasets and multiple deployment options (cloud/local) lower the barrier to entry while maintaining academic rigor.
Overview
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Use Cases
Best For
- Teaching introductory network science courses at university level
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