... domains (such as social networks, various ad-hoc sensor networks). Yet, despite the long history of Graph Theory, current approaches tend to focus on aspects of optimisation of graphs themselves rather than on eliciting strategies relevant to the objective application of the graph paradigm...

... signal domains, and some of the fundamental paradigms in Learning Systems, Signal Processing and Data Analytics, such as spectral analysis, system transfer function, digital filter design, parameter estimation, and optimal denoising. graph theory random data on graphs big data on graphs signal...

... underground transportation system. The latter example demonstrates how graph theory can be used to identify the stations in the London underground network which have the greatest influence on the functionality of the traffic, and also to assess the impact of a station closure on service levels across the city...