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Mastering Social Media Mining with R

You're reading from   Mastering Social Media Mining with R Extract valuable data from your social media sites and make better business decisions using R

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781784396312
Length 248 pages
Edition 1st Edition
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Concepts
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Table of Contents (8) Chapters Close

Preface 1. Fundamentals of Mining 2. Mining Opinions, Exploring Trends, and More with Twitter FREE CHAPTER 3. Find Friends on Facebook 4. Finding Popular Photos on Instagram 5. Let's Build Software with GitHub 6. More Social Media Websites Index

Network analysis and visualization


So far, we used a few functions to get the details about our Facebook profile as well as friends' data. Let's see how to get to know more about our network. Before learning to get the network data, let's understand what a network is as well as a few important concepts about the network.

Anything connected to a few other things could be a network. Everything in real life is connected to each other, for example, people, machines, events, and so on. It would make a lot of sense if we analyzed them as a network. Let's consider a network of people; here, people will be the nodes in the network and the relationship between them would be the edges (lines connecting them).

Social network analysis

The technique to study/analyze the network is called social network analysis. We will see how to create a simple plot of friends in our network in this section.

To understand the nodes (people/places/etc) in a network in social network analysis, we need to evaluate the position...

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