Statistical topological data analysis: some musings about networks and applications

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• Ralf Koehl (Giessen University)
• Tuesday 14 December 2021, 15:00-16:00
• Zoom.

If you have a question about this talk, please contact Gareth Tracey.

I will start with an overview how linear algebra (in particular eigenvalue techniques) help with the understanding of networks. Then I mention random walks (which for me is a combination of linear algebra with limit arguments). Then I go to the core topic of the talk: persistent homology, starting with plenty of examples. Then I mention how a group-theorist can end up working with networks. And finally I explain how a pure mathematician can train themselves for applying methods from network theory by studying properties of Riemannian manifolds via approximations.

This talk is part of the Algebra Seminar series.

This talk is included in these lists:

• Algebra Seminar
• School of Mathematics Events
• Zoom

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