Network Visualization
(a gentle introduction with Kumu)



Meg Miller - GIS & Data Visualization Librarian


workshop: bit.ly/uml_net

Outline


  1. Define key terms;
  2. Discuss visualization types and their uses;
  3. Explore data structures and considerations;
  4. Kumu Exercise:
    • Explore tool interface
    • Load and symbolize network data

Key Terms (1):


Data Visualization - Display complex information in a way that makes it easier for your end user to explore or understand what you have done.


Key Terms (2.1):


Network map - Displays complex relationships through an arrangement nodes and edges.

Can be categorized as physical or logical.

Key Terms (2.2):


A network can also be represented through mathematical notation with roots in graph theory.

graph theory

Types of Network Visualizations:


System / Information (between objects/ entities)

Social networks (between humans)

Geographic networks (grounded in geography)

Data Structures:


Elements include: nodes, edges, directionality, degrees and more.

graph theory

Data Structures:


Elements include: nodes, edges, directionality, degrees and more.

graph theory

Data Structures:


Elements include: nodes, edges, directionality, degrees and more.

graph theory

Data Structures:


Elements include: nodes, edges, directionality, degrees(D) and more.

graph theory

Data Considerations:


Requirements (size + location)

Be kind to your audience (best practices)

Be kind to yourself (read the readme before you begin)

Getting Started:


Data Visualization LibGuide

Don't forget about training resources!

Kumu – Building a simple network


Workshop content

Questions



meg.miller@umanitoba.ca

workshop: bit.ly/uml_net