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University of Birmingham > Talks@bham > Study group in Graph Theory, Topology and Algorithms > Trophic analysis of directed networks
![]() Trophic analysis of directed networksAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Johannes Carmesin. In nature, large, densely interconnected ecosystems such as rainforests or coral reefs are particularly stable – but this, as Lord May famously showed, looks mathematically paradoxical. A topological property of directed networks which we called ‘trophic coherence’ may account for this phenomenon, as well as many other interesting features of complex systems [1,2]. In recent years trophic coherence has been related to graph eigenspectra, non-normality, stability and percolation, and applied to finance, power structures, deep neural networks and train lines [3,4]. I will summarise where this research is at the moment, and the many open questions which are emerging. References [1] S. Johnson, V. Domínguez-García, L. Donetti, and M.A. Muñoz, ‘Trophic coherence determines food-web stability’, PNAS 111 , 17923 (2014) [2] S. Johnson and N.S. Jones, ‘Looplessness in networks is linked to trophic coherence’, PNAS 114 , 5618 (2017) [3] S. Johnson, ‘Digraphs are different: Why directionality matters in complex systems’, Journal of Physics: Complexity, 1, 015003 (2020) [4] R.S. MacKay, S. Johnson, B. Sansom, ‘How directed is a directed network?’, Royal Society Open Science 7: 201138 (2020) This talk is part of the Study group in Graph Theory, Topology and Algorithms series. This talk is included in these lists:Note that ex-directory lists are not shown. |
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