University of Birmingham > Talks@bham > Algebra Seminar > Statistical topological data analysis: some musings about networks and applications

## Statistical topological data analysis: some musings about networks and applicationsAdd to your list(s) Download to your calendar using vCal - 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:Note that ex-directory lists are not shown. |
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