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dc.contributor.authorYe, Mengbin
dc.contributor.authorLiu, J.
dc.contributor.authorAnderson, B.D.O.
dc.contributor.authorYu, C.
dc.contributor.authorBaşar, T.
dc.date.accessioned2021-07-06T12:40:41Z
dc.date.available2021-07-06T12:40:41Z
dc.date.issued2017
dc.identifier.citationYe, M. and Liu, J. and Anderson, B.D.O. and Yu, C. and Başar, T. 2017. On the Analysis of the DeGroot-Friedkin Model with Dynamic Relative Interaction Matrices. In: 20th World Congress of the International-Federation-of-Automatic-Control (IFAC), 9th Jul 2017, Toulouse, FRANCE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/84362
dc.identifier.doi10.1016/j.ifacol.2017.08.1426
dc.description.abstract

This paper analyses the DeGroot-Friedkin model for evolution of the individuals’ social powers in a social network when the network topology varies dynamically (described by dynamic relative interaction matrices). The DeGroot-Friedkin model describes how individual social power (self-appraisal, self-weight) evolves as a network of individuals discuss opinions on a sequence of issues. We seek to study dynamically changing relative interactions because interactions may change depending on the issue being discussed. Specifically, we study relative interaction matrices which vary periodically with respect to the issues. This may reflect a group of individuals, e.g. a government cabinet, that meet regularly to discuss a set of issues sequentially. It is shown that individuals’ social powers admit a periodic solution. Initially, we study a social network which varies periodically between two relative interaction matrices, and then generalise to an arbitrary number of relative interaction matrices.

dc.languageEnglish
dc.publisherELSEVIER
dc.subjectScience & Technology
dc.subjectTechnology
dc.subjectAutomation & Control Systems
dc.subjectsocial and behavioural sciences
dc.subjectmulti-agent systems
dc.subjectsocial networks
dc.subjectnetworked systems
dc.subjectopinion dynamics
dc.titleOn the Analysis of the DeGroot-Friedkin Model with Dynamic Relative Interaction Matrices
dc.typeConference Paper
dcterms.source.volume50
dcterms.source.number1
dcterms.source.startPage11902
dcterms.source.endPage11907
dcterms.source.issn2405-8963
dcterms.source.titleIFAC PAPERSONLINE
dcterms.source.conference20th World Congress of the International-Federation-of-Automatic-Control (IFAC)
dcterms.source.conference-start-date9 Jul 2017
dcterms.source.conferencelocationToulouse, FRANCE
dc.date.updated2021-07-06T12:40:41Z
curtin.departmentSchool of Elec Eng, Comp and Math Sci (EECMS)
curtin.accessStatusFulltext not available
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidYe, Mengbin [0000-0003-1698-0173]
dcterms.source.conference-end-date14 Jul 2017
dcterms.source.eissn2405-8963
curtin.contributor.scopusauthoridYe, Mengbin [56203529600]


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