说明：  Cooperative and graph signal processing are areas that have seen significant growth in recent years, a trend that without a doubt will continue for many years to come. These areas are well within the scope of network science, which deals with complex systems described by interconnected elements and/or agents. The networks can be of many types including physical, engineered, information, social, biological, and economic networks. Within the framework of cooperative and graph signal processing one aims at discovering principles of various tasks including distributed detection and estimation, adaptation and learning over networks, distributed decision making, optimization and control over networks, and modeling and identification. The range of possible applications is vast and includes robotics, smart grids, communications, economic networks, life sciences, ecology, social networks, wireless health, and transportation networks.