June 2024
Intermediate to advanced
290 pages
7h 52m
English
Content preview from Modern Graph Theory Algorithms with Python
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1
What is a Network?
This chapter introduces the basics of graph theory and its applications in network science. Network science is not a commonly taught area of data science, but many problems can be framed through a network science perspective. Network-based algorithms often scale better than other machine learning algorithms, making them ideal for analyzing datasets with many variables, exploring spatial datasets with many locations represented, or spotting trends in high-dimensional time series data. Later chapters will delve more deeply into the topics with hands-on examples.
In this chapter, we will define terms that will be used throughout the book, explore some common uses of network science in analyzing social relationship data, and ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.