Lecture 10: Complex Networks - Part 2
Summary
In this lecture we concluded the section on networks. We discussed various centrality measures of nodes like
- degree centrality
- betweenness centrality
- clustering
We also covered the small-world property of many networks as well as the emergence of scale-free degree distributions.
We also discussed the Erdös-Renyi random network as a model network and showed that it doesn't capture a number of important features of real-world networks.
Interactive Tool
In the main menu section tools you can find the network explorer used in class.
Please play with it.