• 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