As part of my work exploring the notion of tipping points I did some work looking at abstract models of populations of Banks. This work actually follows on from earlier work (soon to be published in the Journal of Business History) looking at the development of the British Banking sector. It takes a look, through modelling and simulation, at how the banking sector might have developed had history been different ,while trying to contribute to the debate around what a tipping point is and can it be modelled. Modelling tipping points is difficult because the moment you decide that that is what you are doing, then you have already biased your work. You will inevitably build something that is at least capable of undergoing a tipping point. This paper attempts to explore this problem though the lens of banks. Full text, Bursting a Bubble: Abstract Banking Demographics to Understand Tipping Points?
I apply complexity theory and complex networks analysis to a range of different topics including; public data, inquiries, big data, and finance. I am also particularly interested in using algorithms to analyse difficult data sets.
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