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Python Data Science Essentials

You're reading from   Python Data Science Essentials A practitioner's guide covering essential data science principles, tools, and techniques

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789537864
Length 472 pages
Edition 3rd Edition
Languages
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Authors (2):
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Luca Massaron Luca Massaron
Author Profile Icon Luca Massaron
Luca Massaron
Alberto Boschetti Alberto Boschetti
Author Profile Icon Alberto Boschetti
Alberto Boschetti
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Toc

Table of Contents (11) Chapters Close

Preface 1. First Steps FREE CHAPTER 2. Data Munging 3. The Data Pipeline 4. Machine Learning 5. Visualization, Insights, and Results 6. Social Network Analysis 7. Deep Learning Beyond the Basics 8. Spark for Big Data 9. Strengthen Your Python Foundations 10. Other Books You May Enjoy

Social Network Analysis

Social network analysis, usually referred to as SNA, creates a model and studies the relationships of a group of social entities that exist in the form of a network. An entity can be a person, a computer, or a web page, and a relationship can be a like, link, or friendship (that is, a connection between entities).

In this chapter, you'll learn about the following:

  • Graphs, since social networks are usually represented in this form
  • Important algorithms that are used to gain insights from a graph
  • How to load, dump, and sample large graphs
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