Ling, Wing-Kuen and Stewart, Paul and Teo, Kok-Lay and Tse, Chi-Kong (2010) Study of near consensus complex social networks using eigen theory. In: International Conference on Optimization: Techniques and Applications, 10-13 December, 2010, Shanghai.

Preview

PDF conference_chao_complex_networks.pdf Download (53Kb)

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. Based on this definition, the relationships among the vectors representing the steady state values of the decision certitudes of the nodes, the influence weight matrix of a near consensus complex social network 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 investigated. Finally, some practical examples of near consensus complex social networks are illustrated.

Item Type:	Conference or Workshop Item (Presentation)
Additional Information:	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. Based on this definition, the relationships among the vectors representing the steady state values of the decision certitudes of the nodes, the influence weight matrix of a near consensus complex social network 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 investigated. Finally, some practical examples of near consensus complex social networks are illustrated.
Keywords:	complex network, consensus
Subjects:	H Engineering > H310 Dynamics
Divisions:	College of Sciences > Faculty of Science > Lincoln School of Engineering
Depositing User:	Wing-Kuen Ling
Date Deposited:	13 Feb 2011 15:55
Last Modified:	13 Mar 2013 08:55
URI:	http://eprints.lincoln.ac.uk/id/eprint/3997

Actions (login required)

View Item