Change search
ReferencesLink to record
Permanent link

Direct link
The topology of politics: voting connectivity in the US House of Representatives
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0001-6322-7542
Stanford University. (Department of Mathematics)
Ayasdi Inc..
Ayasdi Inc..
Show others and affiliations
2012 (English)Conference paper, Poster (Refereed)
Abstract [en]

Time-varying topological simplifications of the space of votes in the US House of Representatives (US HoR) display several interesting features unavailable with classical methods of machine learning. In this paper we demonstrate how a re- cently developed topological simplification method, MAPPER, can detect changes in collaboration structures within the US HoR over time.

Place, publisher, year, edition, pages
Keyword [en]
applied algebraic topology, political data analysis, parliament, house of representative, vote space, mapper, topological simplification
National Category
Computational Mathematics
URN: urn:nbn:se:kth:diva-107212OAI: diva2:575331
NIPS 2012 Workshop on Algebraic Topology and Machine Learning
EU, FP7, Seventh Framework Programme, FP7-ICT-318493-STREP

QC 20130523

Available from: 2012-12-10 Created: 2012-12-10 Last updated: 2013-05-23Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Vejdemo-Johansson, Mikael
By organisation
Computer Vision and Active Perception, CVAP
Computational Mathematics

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 263 hits
ReferencesLink to record
Permanent link

Direct link