Study of Near Consensus Complex Social Networks Using Eigen Theory

Bingo Wing-Kuen Ling; Paul Stewart; Kok-Lay Teo; Chi K. Tse

doi:10.1109/ISCAS.2011.5938014

Study of Near Consensus Complex Social Networks Using Eigen Theory

Bingo Wing-Kuen Ling
, Paul Stewart
, Kok-Lay Teo
, Chi K. Tse

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

1 Citation (Scopus)

Abstract

This paper extends the definition of an exact consensus complex social network to that of a near consensus complex social network. A near consensus complex social network is a social network with nontrivial topological features and steady state values of the decision certitudes of the majority of the nodes being either higher or lower than a threshold value. By using eigen theories, the relationships among the vectors representing the steady state values of the decision certitudes of the nodes, the influence weight matrix and the set of vectors representing the initial state values of the decision certitudes of the nodes that satisfies a given near consensus specification are characterized. © 2011 IEEE.

Original language	English
Title of host publication	2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011
Pages	2107-2110
DOIs	https://doi.org/10.1109/ISCAS.2011.5938014
Publication status	Published - May 2011
Externally published	Yes
Event	2011 IEEE International Symposium of Circuits and Systems (ISCAS 2011) - Rio de Janeiro, Brazil Duration: 15 May 2011 → 18 May 2011

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)	0271-4310

Conference

Conference	2011 IEEE International Symposium of Circuits and Systems (ISCAS 2011)
Abbreviated title	ISCAS 2011
Place	Brazil
City	Rio de Janeiro
Period	15/05/11 → 18/05/11

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10.1109/ISCAS.2011.5938014

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@inproceedings{1c0e639ead124fb3afd5ddaec0720240,

title = "Study of Near Consensus Complex Social Networks Using Eigen Theory",

abstract = "This paper extends the definition of an exact consensus complex social network to that of a near consensus complex social network. A near consensus complex social network is a social network with nontrivial topological features and steady state values of the decision certitudes of the majority of the nodes being either higher or lower than a threshold value. By using eigen theories, the relationships among the vectors representing the steady state values of the decision certitudes of the nodes, the influence weight matrix and the set of vectors representing the initial state values of the decision certitudes of the nodes that satisfies a given near consensus specification are characterized. {\textcopyright} 2011 IEEE.",

author = "Ling, \{Bingo Wing-Kuen\} and Paul Stewart and Kok-Lay Teo and Tse, \{Chi K.\}",

year = "2011",

month = may,

doi = "10.1109/ISCAS.2011.5938014",

language = "English",

isbn = "9781424494736",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

pages = "2107--2110",

booktitle = "2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011",

note = "2011 IEEE International Symposium of Circuits and Systems (ISCAS 2011), ISCAS 2011 ; Conference date: 15-05-2011 Through 18-05-2011",

}

Ling, BW-K, Stewart, P, Teo, K-L & Tse, CK 2011, Study of Near Consensus Complex Social Networks Using Eigen Theory. in 2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011., 5938014, Proceedings - IEEE International Symposium on Circuits and Systems, pp. 2107-2110, 2011 IEEE International Symposium of Circuits and Systems (ISCAS 2011), Rio de Janeiro, Brazil, 15/05/11. https://doi.org/10.1109/ISCAS.2011.5938014

Study of Near Consensus Complex Social Networks Using Eigen Theory. / Ling, Bingo Wing-Kuen; Stewart, Paul; Teo, Kok-Lay et al.
2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011. 2011. p. 2107-2110 5938014 (Proceedings - IEEE International Symposium on Circuits and Systems).

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

TY - GEN

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AU - Stewart, Paul

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N2 - This paper extends the definition of an exact consensus complex social network to that of a near consensus complex social network. A near consensus complex social network is a social network with nontrivial topological features and steady state values of the decision certitudes of the majority of the nodes being either higher or lower than a threshold value. By using eigen theories, the relationships among the vectors representing the steady state values of the decision certitudes of the nodes, the influence weight matrix and the set of vectors representing the initial state values of the decision certitudes of the nodes that satisfies a given near consensus specification are characterized. © 2011 IEEE.

AB - This paper extends the definition of an exact consensus complex social network to that of a near consensus complex social network. A near consensus complex social network is a social network with nontrivial topological features and steady state values of the decision certitudes of the majority of the nodes being either higher or lower than a threshold value. By using eigen theories, the relationships among the vectors representing the steady state values of the decision certitudes of the nodes, the influence weight matrix and the set of vectors representing the initial state values of the decision certitudes of the nodes that satisfies a given near consensus specification are characterized. © 2011 IEEE.

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U2 - 10.1109/ISCAS.2011.5938014

DO - 10.1109/ISCAS.2011.5938014

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

SN - 9781424494736

T3 - Proceedings - IEEE International Symposium on Circuits and Systems

SP - 2107

EP - 2110

BT - 2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011

T2 - 2011 IEEE International Symposium of Circuits and Systems (ISCAS 2011)

Y2 - 15 May 2011 through 18 May 2011

ER -

Study of Near Consensus Complex Social Networks Using Eigen Theory

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