Chapter 9Signal Processing on Complex Networks

Previous chapters discussed various complex network models and different methods to explore the structure of complex networks. This chapter discusses analysis and processing of data defined on complex networks. A huge amount of data is generated by each individual node in a large complex network. Data defined on a complex network can be visualized as a set of scalar values, known as a graph signal, supported by the structure of the network. Graph signals can arise from various scenarios such as information diffusion in social networks, functional activities in the brain, vehicular traffic in road networks, and temperature or pressure in sensor networks. In addition, in computer graphics, data defined ...

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