DocumentCode :
188724
Title :
Achieving unanimous opinions in signed social networks
Author :
Altafini, Claudio ; Lini, Gabriele
Author_Institution :
Dept. of Electr. Eng., Linkoping Univ., Linkoping, Sweden
fYear :
2014
fDate :
24-27 June 2014
Firstpage :
184
Lastpage :
189
Abstract :
Being able to predict the outcome of an opinion forming process is an important problem in social network theory. However, even for linear dynamics, this becomes a difficult task as soon as non-cooperative interactions are taken into account. Such interactions are naturally modeled as negative weights on the adjacency matrix of the social network. In this paper we show how the Perron-Frobenius theorem can be used for this task also beyond its standard formulation for cooperative systems. In particular we show how it is possible to associate the achievement of unanimous opinions with the existence of invariant cones properly contained in the positive orthant. These cases correspond to signed adjacency matrices having the eventual positivity property, i.e., such that in sufficiently high powers all negative entries have disappeared. More generally, we show how for social networks the achievement of a, possibily non-unanimous, opinion can be associated to the existence of an invariant cone fully contained in one of the orthants of ℝn.
Keywords :
matrix algebra; network theory (graphs); social sciences; Perron-Frobenius theorem; adjacency matrix; cooperative systems; invariant cone; invariant cones; linear dynamics; noncooperative interactions; opinion forming process; positive orthant; positivity property; signed adjacency matrices; signed social networks; standard formulation; unanimous opinions; Educational institutions; Eigenvalues and eigenfunctions; Nonlinear dynamical systems; Social network services; Standards; Trajectory; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2014 European
Conference_Location :
Strasbourg
Print_ISBN :
978-3-9524269-1-3
Type :
conf
DOI :
10.1109/ECC.2014.6862161
Filename :
6862161
Link To Document :
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