The Topological "Shape" of Brexit
classification
💻 cs.CG
math.ATphysics.soc-ph
keywords
brexitdatafiltrationfiltrationshomologypersistentshapeused
pith:MESFFDMB Add to your LaTeX paper
What is a Pith Number?\usepackage{pith}
\pithnumber{MESFFDMB}
Prints a linked pith:MESFFDMB badge after your title and writes the identifier into PDF metadata. Compiles on arXiv with no extra files. Learn more
read the original abstract
Persistent homology is a method from computational algebraic topology that can be used to study the "shape" of data. We illustrate two filtrations --- the weight rank clique filtration and the Vietoris--Rips (VR) filtration --- that are commonly used in persistent homology, and we apply these filtrations to a pair of data sets that are both related to the 2016 European Union "Brexit" referendum in the United Kingdom. These examples consider a topical situation and give useful illustrations of the strengths and weaknesses of these methods.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.