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 :
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