June 2023
Intermediate to advanced
236 pages
6h 25m
English
Social network analysis, fraud detection, modeling the stability of systems (for example, rail and energy grids), and recommendation systems all rely on graphs as the lynchpin underpinning these types of networks. In each of these examples, the relationships between individual people, bank accounts, or other single units are fundamental to describe and model the data. As opposed to traditional data models, a graph is a perfect way to represent groups of interacting elements.
This chapter will serve as an introduction to why graphs are important and introduce you to the fundamentals of what makes up a graph network. Moreover, we will look at how to transition from traditional data storage strategies, such ...
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