Hands-On Network Science
summary
Network methods convert data into graphs and produce concrete results: using Forman-Ricci curvature and centralities on windowed correlation networks of NASDAQ (Apple Alphabet Nvidia Microsoft, 2004–2020) predicts volatility spikes including 2008; removing the top-ranked vertex (by curvature) shortens a modeled epidemic by a time period and halves infections in the sample; a spatiotemporal study uses the local Moran statistic on 45 provinces, 2015–2022 millet prices to flag regional price volatility. Code uses Python toolkits igraph and NetworkX and is available.
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chapters (6)
- 0:00Network science concepts
- 3:58Epidemic spread modeling
- 8:17Stock market crash prediction
- 11:50Food price volatility analysis
- 15:24Conclusion
- 17:03Q&A
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