Book Image

Learning Social Media Analytics with R

By : Dipanjan Sarkar, Karthik Ganapathy, Raghav Bali, Tushar Sharma
Book Image

Learning Social Media Analytics with R

By: Dipanjan Sarkar, Karthik Ganapathy, Raghav Bali, Tushar Sharma

Overview of this book

The Internet has truly become humongous, especially with the rise of various forms of social media in the last decade, which give users a platform to express themselves and also communicate and collaborate with each other. This book will help the reader to understand the current social media landscape and to learn how analytics can be leveraged to derive insights from it. This data can be analyzed to gain valuable insights into the behavior and engagement of users, organizations, businesses, and brands. It will help readers frame business problems and solve them using social data. The book will also cover several practical real-world use cases on social media using R and its advanced packages to utilize data science methodologies such as sentiment analysis, topic modeling, text summarization, recommendation systems, social network analysis, classification, and clustering. This will enable readers to learn different hands-on approaches to obtain data from diverse social media sources such as Twitter and Facebook. It will also show readers how to establish detailed workflows to process, visualize, and analyze data to transform social data into actionable insights.
Table of Contents (16 chapters)
Learning Social Media Analytics with R
About the Author
About the Reviewer
Customer Feedback

Analyzing repository activity

We mentioned before that any collaborative software development is typically done in repositories on GitHub. A repository is typically a store for code, data, and other assets which can be accessed in a distributive manner by various collaborators across the world. In this section, we will analyze and visualize various parameters with regard to repository activity for one of the most popular open sourced operating systems, Linux. The GitHub repository for Linux can be accessed at in case you want to view its components. With over 600,000 commits, it is one of the most popular open source repositories on GitHub. We will start by loading the necessary packages we will be using in this and in future sections and our GitHub access tokens. I have already placed them in the load_packages.R file available with the code files for this chapter. You can load it up using the following command:


Now we have the...