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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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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

Trending topics


The concept of trending topics is quite popular. We can see the trending topics in news websites, Twitter, and so on. But how can we identify the trending topic for a particular Facebook page or a group of Facebook pages? Let's see how it can be done in detail.

Trend analysis

Now, we will see how to learn which posts are doing well in recent times. After selecting the page that we are planning to do some analysis for, we will filter the posts' data based on a time range. Let's consider the same TED page and filter the recent data and see the posts that were popular:

# Most trending posts
page<- getPage("TED", token, n = 500)
head(page, n=20)

We pull the interactions, that is, messages posted in a page using the getPage function. In the following code, we are filtering the data. We are pulling the data that was posted after April 1, 2015. Then, we order the post based on the number of likes, and we use the head function to display the top posts and their details. The code is...

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