Summary

In this chapter, we’ve introduced some common uses of time series data and time series analytics, including stock market data. We explored several vertex- and edge-based centrality metrics that are common in network analytics. Then, we applied network metrics to a time series problem on NASDAQ stock data from 2004 to 2020 to investigate how network metrics and time series thresholding impact the ability to extract useful information from time series data, such as our stock data. Finally, we investigated extending networks to simplicial complexes and constructed a network by building two simplicial complexes using the Vietoris–Rips method and various threshold values. In Chapter 7, we'll look at sales and goods pricing across both time and geography to see how network science can solve problems in spatiotemporal data.