Book Image

Mastering Social Media Mining with R

Book Image

Mastering Social Media Mining with R

Overview of this book

With an increase in the number of users on the web, the content generated has increased substantially, bringing in the need to gain insights into the untapped gold mine that is social media data. For computational statistics, R has an advantage over other languages in providing readily-available data extraction and transformation packages, making it easier to carry out your ETL tasks. Along with this, its data visualization packages help users get a better understanding of the underlying data distributions while its range of "standard" statistical packages simplify analysis of the data. This book will teach you how powerful business cases are solved by applying machine learning techniques on social media data. You will learn about important and recent developments in the field of social media, along with a few advanced topics such as Open Authorization (OAuth). Through practical examples, you will access data from R using APIs of various social media sites such as Twitter, Facebook, Instagram, GitHub, Foursquare, LinkedIn, Blogger, and other networks. We will provide you with detailed explanations on the implementation of various use cases using R programming. With this handy guide, you will be ready to embark on your journey as an independent social media analyst.
Table of Contents (13 chapters)
Mastering Social Media Mining with R
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Popular personalities


From the dataset we built, we will work on identifying the most popular users using different aspects. Let's see those in detail.

Who has the most followers?

We can get the users with most number of followers from the dataset userprofiles by sorting the data using the column followed_by and using the function order. The following code will return the dataset by sorting the data in the descending order based on the column followed_by. The code is as follows:

mostfollowed<- userprofiles[with(userprofiles, order(-followed_by)), ]
head(mostfollowed$full_name, 15)

The output is as follows:

Who follows more people?

To know the user who follows the most number of people, we use the same dataset userprofiles. Everything is similar to the previous one, but we need to use the column follows instead of followed_by. The code is as follows:

mostfollows<- userprofiles[with(userprofiles, order(-follows)), ]
head(mostfollows$full_name, 15)

The output is as follows:

The preceding output...