This workshop introduces the fundamental concepts of network analysis and visualization, focusing on the mathematical and graphical representation of relationships within a network. Participants will explore the basics of graph theory, including key concepts like density, degree, and clustering coefficients. The workshop will also delve into the practical aspects of network visualization, distinguishing between information visualization, and geographic information visualization (GIS). Emphasizing the importance of data visualization, the session will guide attendees through various tools and programming packages, catering to both developers and non-developers. The workshop will include hands-on examples, particularly in social network visualization, using tools like igraph.

Workshop Schedule (2 Hours)

Part 1: Introduction to Network Analysis

- Introduction and overview

- Definition of a network

- Importance of network analysis in various fields

- Basic concepts in graph theory

- Understanding vertices, edges, and the adjacency matrix

- Exploring graph theory concepts: density, degree, path, cycle, distance, diameter, components, and clustering coefficient

Part 2: Network Visualization Tools and Techniques

- Data visualization fundamentals

- The role of visualization in data interpretation

- Iterative exploration of data

- Tools for network visualization

- Overview of libraries and programming packages

- Introduction to tools for non-developers: Datawrapper, Tableau Public, Raw, Timeline JS

Part 3: Hands-On Session with Network Visualization

- Social network visualization

- Case study: visualizing social networks

- Triangle transitivity in dominance hierarchies and directed graphs

- Practical exercise using igraph

- Interactive session: creating a basic network visualization

- Guidance on using igraph for network analysis

Prerequisites:Note: Please bring a laptop with pre-installed tools (instructions provided prior to the workshop).

No prior experience in programming is necessary, but familiarity with basic data concepts is helpful.

Length: 2 Hours

Level: Intermediate

An Introduction to Network Analysis and Visualization