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dc.contributor.authorLing, B.
dc.contributor.authorStewart, P.
dc.contributor.authorTeo, Kok Lay
dc.contributor.authorTse, C.
dc.contributor.editorProfs. Paulo S. R. Diniz (UFRJ) and Ricardo de Queiroz (UnB)
dc.date.accessioned2017-01-30T12:09:24Z
dc.date.available2017-01-30T12:09:24Z
dc.date.created2012-03-26T20:01:28Z
dc.date.issued2011
dc.identifier.citationLing, Bingo Wing-Kuen and Stewart, Paul and Teo, Kok-Lay and Tse, Chi K. 2011. Study of Near Consensus Complex Social Networks Using Eigen Theory, in P.S.R. Diniz and R. de Queiroz (ed), International Symposium on Circuits and Systems (ISCAS), May 15-18 2011. Rio de Janeiro, Brazil: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/18687
dc.identifier.doi10.1109/ISCAS.2011.5938014
dc.description.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.

dc.publisherInstitute of Electrical and Electronics Engineers
dc.titleStudy of Near Consensus Complex Social Networks Using Eigen Theory
dc.typeConference Paper
dcterms.source.titleCircuits and Systems (ISCAS), 2011 IEEE International Symposium on
dcterms.source.seriesCircuits and Systems (ISCAS), 2011 IEEE International Symposium on
dcterms.source.conference2011 IEEE International Symposium on Circuits and Systems (ISCAS)
dcterms.source.conference-start-dateMay 15 2011
dcterms.source.conferencelocationRio de Janeiro, Brazil
dcterms.source.placeUnited States
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available


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