Big data is currently one of the hottest topics in every field. With the advances of computing and networking and with more complex human interactions and activities, big data can only become bigger and more important. How to tame this ever-growing beast will be a headache for scientists and politicians.

To make matters worse, big data does not exist independently. It is correlated in a variety of ways. Thus, all of the data is correlated to form a complex network that may have millions of nodes, multiple node/edge attributes, and sophisticated topologies beyond our understanding. This book, Big data of complex networks, presents papers that try to solve various complex big data network problems using tools from computer science, graph theory, and statistics, among others. The topics covered include big data analysis for biological networks, big data analytics for storage and processing of servers, big data text analysis by using networks, network visualization for big data, big data querying in large networks, matrix analysis and big data analytics, legal aspects of big data, and software for big data visual analytics. It covers a broad range of topics, although mostly from the viewpoint of computer scientists or mathematicians.

I would rate this book as an advanced textbook or research book suitable for graduate students or big data researchers. Big data beginners will have a hard time understanding the contents. Also, most of the authors have mathematical or computer science backgrounds. Each chapter reads like a scholarly paper.

Therefore, if you want to understand what big data is, this book is not for you. If you are a researcher who is well trained in big data and wants to solve a specific big data problem, you may find the answers in this book.

Since this is an edited book, the chapter subjects are so diverse that each chapter can be read independently. The editors did not bother to collect related papers into parts, which would be a good reading guide. Also, an introductory chapter by the editors would have made the book more complete and would have shown readers where to start.