This chapter is from the book
This chapter is from the book
This chapter is from the book
1.5 What This Book Offers
This book offers a networking and signal processing perspective of complex networks. The networking aspects of complex networks, in this book, mainly focus on bringing out the overlap between computer networks and complex networks. The emergence of the Internet and the WWW resulted in the creation of several new complex networks such as complex physical networks of interconnecting computers, websites that hyperlink to other websites, and web-based social networks. It is beneficial to apply the tools and techniques from complex networks to achieve performance benefits in designing computer networks, including, but not limited to, architectures for network infrastructure, web-based social networks, WSNs, WMNs, and the Internet. Further, analyzing such large-scale computer networks entails using concepts from the complex networks field. Therefore, networking aspects of complex networks, in this book, present existing knowledge on scale-free networks, small-world networks, SWWMNs, and SWWSNs.
Since the nodes in a complex network generate huge amounts of data, it is of great interest to extract information from the data generated by the nodes of a complex network. Graph signal processing extends the concepts and tools developed in classical signal processing, such as translation, convolution, Fourier transform, filter banks, and wavelet transforms to data located on arbitrary networks. The field of graph signal processing is still in its nascent stage and has attracted a number of researchers from different communities such as networking, information sciences, signal processing, and statistical physics. This book presents various tools and concepts of graph signal processing developed in the past decade.
