Per-Spectral Characterizations of Bicyclic Networks
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-31
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Spectral techniques are used for the study of several network properties: community detection, bipartition, clustering, design of highly synchronizable networks, and so forth.
In this paper, we investigate which kinds of bicyclic networks are determined by their per-spectra.
We find that the permanental spectra cannot determine sandglass graphs in general.
When we restrict our consideration to connected graphs or quadrangle-free graphs, sandglass graphs are determined by their permanental spectra.
Furthermore, we construct countless pairs of per-cospectra bicyclic networks.
American Psychological Association (APA)
Tingzeng, Wu& Lü, Huazhong. 2017. Per-Spectral Characterizations of Bicyclic Networks. Journal of Applied Mathematics،Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1170017
Modern Language Association (MLA)
Tingzeng, Wu& Lü, Huazhong. Per-Spectral Characterizations of Bicyclic Networks. Journal of Applied Mathematics No. 2017 (2017), pp.1-5.
https://search.emarefa.net/detail/BIM-1170017
American Medical Association (AMA)
Tingzeng, Wu& Lü, Huazhong. Per-Spectral Characterizations of Bicyclic Networks. Journal of Applied Mathematics. 2017. Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1170017
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170017