Pinning scheme for complex networks based on PageRank algorithm

Yao Chen; Wenjun Xiong; Jinhu Lü; Daniel W.C. Ho

doi:10.1109/ICISS.2010.5657148

Pinning scheme for complex networks based on PageRank algorithm

Yao Chen
, Wenjun Xiong
, Jinhu Lü
, Daniel W.C. Ho

Department of Mathematics

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

The pinning control problem of complex networks has been widely investigated recent years. However, there does not exist a widely accepted pinning scheme which can be applied to the synchronization of complex networks. This contribution gives a novel pinning scheme which based on the famous PageRank algorithm to make the network realize synchronization as fast as possible. Numerical simulation indicates that this pinning scheme is effective for undirected networks, however, it fails when it applied to directed networks. © 2010 IEEE.

Original language	English
Title of host publication	Proceedings - 2010 International Conference on Intelligent Computing and Integrated Systems, ICISS2010
Pages	709-712
DOIs	https://doi.org/10.1109/ICISS.2010.5657148
Publication status	Published - 2010
Event	2010 IEEE International Conference on Intelligent Computing and Integrated Systems, ICISS2010 - Guilin, China Duration: 22 Oct 2010 → 24 Oct 2010

Conference

Conference	2010 IEEE International Conference on Intelligent Computing and Integrated Systems, ICISS2010
Place	China
City	Guilin
Period	22/10/10 → 24/10/10

Research Keywords

Complex networks
Directed networks
ER random graph
PageRank algorithm
Pinning scheme
Scalefree networks
Undirected networks

Access Output

10.1109/ICISS.2010.5657148

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{7d3971203b0c4c47949564ee2928e2ee,

title = "Pinning scheme for complex networks based on PageRank algorithm",

abstract = "The pinning control problem of complex networks has been widely investigated recent years. However, there does not exist a widely accepted pinning scheme which can be applied to the synchronization of complex networks. This contribution gives a novel pinning scheme which based on the famous PageRank algorithm to make the network realize synchronization as fast as possible. Numerical simulation indicates that this pinning scheme is effective for undirected networks, however, it fails when it applied to directed networks. {\textcopyright} 2010 IEEE.",

keywords = "Complex networks, Directed networks, ER random graph, PageRank algorithm, Pinning scheme, Scalefree networks, Undirected networks",

author = "Yao Chen and Wenjun Xiong and Jinhu L{\"u} and Ho, \{Daniel W.C.\}",

year = "2010",

doi = "10.1109/ICISS.2010.5657148",

language = "English",

isbn = "9781424468355",

pages = "709--712",

booktitle = "Proceedings - 2010 International Conference on Intelligent Computing and Integrated Systems, ICISS2010",

note = "2010 IEEE International Conference on Intelligent Computing and Integrated Systems, ICISS2010 ; Conference date: 22-10-2010 Through 24-10-2010",

}

Chen, Y, Xiong, W, Lü, J & Ho, DWC 2010, Pinning scheme for complex networks based on PageRank algorithm. in Proceedings - 2010 International Conference on Intelligent Computing and Integrated Systems, ICISS2010., 5657148, pp. 709-712, 2010 IEEE International Conference on Intelligent Computing and Integrated Systems, ICISS2010, Guilin, China, 22/10/10. https://doi.org/10.1109/ICISS.2010.5657148

Pinning scheme for complex networks based on PageRank algorithm. / Chen, Yao; Xiong, Wenjun; Lü, Jinhu et al.
Proceedings - 2010 International Conference on Intelligent Computing and Integrated Systems, ICISS2010. 2010. p. 709-712 5657148.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Pinning scheme for complex networks based on PageRank algorithm

AU - Chen, Yao

AU - Xiong, Wenjun

AU - Lü, Jinhu

AU - Ho, Daniel W.C.

PY - 2010

Y1 - 2010

N2 - The pinning control problem of complex networks has been widely investigated recent years. However, there does not exist a widely accepted pinning scheme which can be applied to the synchronization of complex networks. This contribution gives a novel pinning scheme which based on the famous PageRank algorithm to make the network realize synchronization as fast as possible. Numerical simulation indicates that this pinning scheme is effective for undirected networks, however, it fails when it applied to directed networks. © 2010 IEEE.

AB - The pinning control problem of complex networks has been widely investigated recent years. However, there does not exist a widely accepted pinning scheme which can be applied to the synchronization of complex networks. This contribution gives a novel pinning scheme which based on the famous PageRank algorithm to make the network realize synchronization as fast as possible. Numerical simulation indicates that this pinning scheme is effective for undirected networks, however, it fails when it applied to directed networks. © 2010 IEEE.

KW - Complex networks

KW - Directed networks

KW - ER random graph

KW - PageRank algorithm

KW - Pinning scheme

KW - Scalefree networks

KW - Undirected networks

UR - https://www.scopus.com/pages/publications/78651440386

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-78651440386&origin=recordpage

U2 - 10.1109/ICISS.2010.5657148

DO - 10.1109/ICISS.2010.5657148

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424468355

SP - 709

EP - 712

BT - Proceedings - 2010 International Conference on Intelligent Computing and Integrated Systems, ICISS2010

T2 - 2010 IEEE International Conference on Intelligent Computing and Integrated Systems, ICISS2010

Y2 - 22 October 2010 through 24 October 2010

ER -

Pinning scheme for complex networks based on PageRank algorithm

Abstract

Conference

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this