Modern Graph Theory Algorithms with Python

Table of Contents

1. What is a Network?
2. Wrangling Data into Networks with NetworkX and igraph
3. Demographic Data
4. Transportation Data
5. Ecological Data
6. Stock Market Data
7. Goods Prices/Sales Data
8. Dynamic Social Networks
9. Machine Learning for Networks
10. Pathway Mining
11. Mapping Language Families – an Ontological Approach
12. Graph Databases
13. Putting It All Together
14. New Frontiers