Social Media Mining

Social media mining is a stream with more scope these days and coming days. We, here, present the techniques of mining social media platforms efficiently with examples and exercises. The book consists of 10 chapters. The first part is of 4 chapters, which explains the data mining part. The part includes an introduction to social media, various social media platforms with their respective categories, and the upcoming challenges in this field. The second chapter is about the collaboration of graphs and networks, and how to evaluate a network is discussed in this book.

The third chapter is one of the most topics in this book. The data mining algorithms, techniques, implementation, and tools are discussed with a few examples. The fourth chapter is about the way of communication between known and unknown persons in social media. It includes strategies for interaction, and how to boost up your engagement in social media.

The remaining half of the book is about mining on different platforms; we discussed Facebook, Twitter, web pages, Linkedin, and emails. The various aspects of the particular media are discussed. For example, on Facebook, we discussed social graph API, social graph connections with codes, and its sample results. The last chapter is about case studies; we will read about the applications of social media mining in the real world. The two case studies will help us to know the importance of social media mining. The book is written from the references, which are printed at the end of each chapter. It helps to elaborate your research and knowledge on the particular topic.

This book can be of benefit in accomplishing the goals of dealing with big data on social media. This is the theoretical explanation of this practical world. Technology may evolve constantly, but the basics of it come from books. So, read the book thoroughly and practice algorithms, execute codes and better understand topics. I hope the journey of your learning will be successful.