John L. Taylor

- Senior Data Scientist, iovation
- johnnylogic@gmail.com
- www.johnnylogic.org

- Provide a basic conceptual structure for networks.
- Review network basics to give context to methods and models.
- Demonstrate a range of network analysis methods.
- Present a few uses of network model.
- Provide further resources and code for future use.

- Graph Types and Representations
- Generative Models
- Graph Analysis

- Community Detection
- Network Diffusion
- Next Steps

- What is Network Science?
- Uses of Networks
- Problem Context

**Network science** is an interdisciplinary field which studies complex networks.

A **complex network** is a graph with non-trivial topological features- features that do not occur in simple networks such as lattices or random graphs, but often occur in real graphs.