Network Theory
Course subject(s)
Network Theory
This lecture will discuss Network Theory:
Part I – Static networks
- Understand the notion of networks as graphs consisting of nodes and edges:
- Directed vs undirected
- Weighted unweighted
- Understand different topologies and how they affect the network:
- Random
- Preferential
- Know the meaning of the basic network metrics:
- Graph diameter
- Shortest Average Path Length
- Degree distributions
- Minimum spanning tree
- Understand basic network evolution processes:
- Small world networks
Part II – Dynamic networks
- Network visualization:
- Why network views are important
- Graph layouts
- Networks vs hierarchies
- Using networks:
- Inuput/Output analysis
- LCA
- Measuring real networks:
- Economies
- Wikis/knowledge
- Ecosystems
- Processes on networks:
- Avalanche models
- Metcalfe’s law
Below is a link to the lecture slides and a paper.
Agent Based Modeling of Complex Adaptive Systems (Basic) by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://ocw.tudelft.nl/courses/agent-based-modeling-of-complex-adaptive-systems-basic/.