Summary
In this chapter, we learned what a social network is, discussing 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, all the essential data science algorithms have been presented; machine learning techniques were discussed in Chapter 4, Machine Learning, and social network analysis methods in the current one.
In the next chapter, which is the concluding one, we are going to introduce you to the basics of visualization with Matplotlib, how to operate EDA with pandas and achieve beautiful visualizations with Seaborn and Bokeh, and how to set up a web server to provide ...
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