How Likely is a Random Network Graph Shift-Enabled?-Reference-Cited by-同舟云学术

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How Likely is a Random Network Graph Shift-Enabled?

Published:2022 Issue: Volume:8 Page:973-982
ISSN:2373-776X
Container-title:IEEE Transactions on Signal and Information Processing over Networks
language:
Short-container-title:IEEE Trans. on Signal and Inf. Process. over Networks

Author:

Chen Liyan¹^ORCID,Cheng Samuel²^ORCID,Stankovic Vladimir³^ORCID,Stankovic Lina³^ORCID,Shi Qingjiang⁴^ORCID

Affiliation:

1. Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province, Zhejiang Ocean University, Zhoushan, China

2. School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA

3. Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, U.K.

4. School of Software Engineering, Tongji University, Shanghai, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6884276/9666472/09975143.pdf?arnumber=9975143

Reference39 articles.

1. Graph classification based on skeleton and component features

2. On the spectral evolution of large networks;kunegis,2011

3. Graph theory;hadorn,2016

4. Barabási–albert model – wikipedia, the free encyclopedia,2022

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