The Topological "Shape" of Brexit

نویسندگان

  • Bernadette J. Stolz
  • Heather A. Harrington
  • Mason A. Porter
چکیده

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.

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عنوان ژورنال:
  • CoRR

دوره abs/1610.00752  شماره 

صفحات  -

تاریخ انتشار 2016