Metrics in the space of high order proximity networks

Author

Weiyu Huang ; Ribeiro, Alejandro

Author_Institution

Dept. of Electr. & Syst. Eng., Univ. of Pennsylvania, Philadelphia, PA, USA

fYear

2015

fDate

19-24 April 2015

Firstpage

4135

Lastpage

4139

Abstract

This paper presents two families of distances in the space of high order proximity networks. The distances measure differences between networks and are shown to be valid metrics in the space of high order proximity networks modulo permutation isomorphisms. Practical implications are explored by comparing the coauthorship networks of two popular signal processing researchers. The metrics succeed in identifying their respective collaboration patterns.

Keywords

network theory (graphs); coauthorship networks; high order proximity networks modulo permutation isomorphisms; signal processing; space metrics; Acoustics; Collaboration; Communities; Conferences; Measurement; Robot sensing systems; Signal processing; High order networks; network distances;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on

Conference_Location

South Brisbane, QLD

Type

conf

DOI

10.1109/ICASSP.2015.7178749

Filename

7178749

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=730646