DocumentCode
3754182
Title
Persistent homology approximations of network distances
Author
Weiyu Huang;Alejandro Ribeiro
Author_Institution
Department of Electrical and Systems Engineering, University of Pennsylvania, 200 South 33rd Street, Philadelphia, PA 19104
fYear
2015
Firstpage
1002
Lastpage
1006
Abstract
This paper presents methods to compare high order networks using persistent homology. High order networks induce well-founded homological features and the difference between networks is measured by the difference between the homological features. This is a reasonable approximation to a valid metric in the space of high order networks modulo permutation isomorphisms. The approximations succeed in discriminating engineering research communities from mathematics communities.
Keywords
"Measurement","Collaboration","Conferences","Information processing","Network topology","Topology"
Publisher
ieee
Conference_Titel
Signal and Information Processing (GlobalSIP), 2015 IEEE Global Conference on
Type
conf
DOI
10.1109/GlobalSIP.2015.7418348
Filename
7418348
Link To Document