Short Course on Complex Networks and Point Processes with Applications
Networked systems arise in many aspects of science and engineering. Typical examples include communication networks, electricity grids, social networks and human interactions, and models depicting the spread of diseases. Often, the behaviour of these systems is dependent upon the spatial embedding of the network. Over the past few decades, mathematicians, physicists and engineers have made great progress toward developing mathematical tools and models that can be used to analyse networks and identify ways in which to influence their properties to achieve some stated objective. In recognition of these facts, this two-day short course was designed to educate graduate students, postdocs and enthusiasts of network science in the nuances of particular aspects of complex network theory and point processes in relation to spatial network analysis.
This course took place during 11–12 September, 2017 at Oriel College in Oxford. The following five lectures were given:
Traditional vs. non-traditional methods in network analytics (slides) Ernesto Estrada, University of Strathclyde
Oxford University hosted a two-day symposium focused on spatial networks from 13-14 September, 2017. The symposium brought together experts from mathematics, physics and engineering communities working on elements of graph theory, complex networks, information theory and communication theory. The following invited talks were given: