In this chapter, we learned what a social network is, including its creation and modification, representation, and some of the important measures of the social network and its nodes. Finally, we discussed the loading and saving of large graphs and ways to deal with the same.

With this chapter, almost all of the essential data science algorithms have been presented. Machine learning techniques were discussed in Chapter 4, Machine Learning, and social network analysis methods were discussed here. We will finally discuss the most advanced and cutting-edge techniques of deep learning and neural networks in the next chapter, Deep Learning Beyond the Basics.

Get Python Data Science Essentials - Third Edition now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.