Intermediate Network Analytics

4 hours of instruction

This is an intermediate network analytics course. By the end of this course, students will be able to quantitatively measure and visualize network nodes with scores. They will also summarize their findings by testing their network resilience.

OBJECTIVES

1. Measure and evaluate a network
2. Build & visualize foundational network graphs
3. Measure and evaluate the strengths and attributes of networks

PREREQUISITES

Introduction to Network Analytics

SYLLABUS & TOPICS COVERED

1. Network Metrics
   • Define ways to measure and evaluate a network
   • Calculate and interpret various centrality metrics
2. Network Visualization
   • Trim a network based on its attributes
   • Visualize the resulting network graph
3. Network Resilience
   • What network resilience is and how to test it
   • Perform a network resilience test

SOFTWARE REQUIREMENTS

You will have access to a Python-based JupyterHub environment for this course. No additional download or installation is required.