- High School
- You don't have any recent items yet.
- You don't have any courses yet.
- You don't have any books yet.
- You don't have any Studylists yet.
- Applied Social Network Analysis in Python
Applied Social Network Analysis in Python (CE0218)
Tutorial work.
Your browser is ancient! Upgrade to a different browser to experience this site.
Applied Social Network Analysis in Python
Description.
This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem.
This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.
based on 2354 ratings
Applied Data Science with Python
U-M Credit Eligible
Daniel Romero
Assistant Professor
School of Information
Know someone who would like this course? Share it with them!
Share on Facebook
Share on Twitter
Share on LinkedIn
IMAGES
VIDEO