Lecture 9: Complex Networks
We started the topic of Complex Networks with an introduction of what complex networks are and in what area of sciences they are abundant.
- We discussed several examples networks
- technological networks
- biological networks
- social networks among animals
We classified networks based on their link types into
- undirected networks
- directed networks
- weighted networks
and restricted our analysis to networks without self-loops.
We also discussed the Königsberg Problem and tried to solve it in class.
We introduced the concept of adjacency matrix which is a way to quantify the connectivity of a network.
In the main menu section tools you can find the network explorer used in class.
Please play with it.
that I showed in class. An
that cover what we discussed in class and more. If your are interested in network science, give it a read.