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

Chapter 5. Analyzing Software Collaboration Trends I – Social Coding with GitHub

Technology has evolved with leaps and bounds over the last couple of decades. With better hardware, software, and data, we are finally seeing trends such as open source, big data, predictive analytics, artificial intelligence, and productivity tools. The rise of open source development has created a healthy collaborative culture in the software development landscape where pair programming, open source contributions, and problem redressal have helped developers build better software together. In the next couple of chapters, we will try to analyze trends in the software development and collaboration domain by focusing on two major platforms – GitHub and StackExchange.

To know about GitHub, we need to know about Git! If you are a software developer, tester, or have worked collaboratively with others in building software, you might be familiar with Git. In the year 2005, famous software engineer Linus Torvalds, more...