Social power evolution in influence networks with stubborn individuals

Fuente: arXiv
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Main Authors: Tian, Ye, Jia, Peng, Mirtabatabaei, Anahita, Wang, Long, Friedkin, Noah E., Bullo, Francesco
Format: Preprint
Published: 2019
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author Tian, Ye
Jia, Peng
Mirtabatabaei, Anahita
Wang, Long
Friedkin, Noah E.
Bullo, Francesco
author_facet Tian, Ye
Jia, Peng
Mirtabatabaei, Anahita
Wang, Long
Friedkin, Noah E.
Bullo, Francesco
contents This paper studies the evolution of social power in influence networks with stubborn individuals. Based on the Friedkin-Johnsen opinion dynamics and the reflected appraisal mechanism, two models are proposed over issue sequences and over a single issue, respectively. These models generalize the original DeGroot-Friedkin (DF) model by including stubbornness. To the best of our knowledge, this paper is the first attempt to investigate the social power evolution of stubborn individuals basing on the reflected appraisal mechanism. Properties of equilibria and convergence are provided. We show that the models have same equilibrium social power and convergence property, where the equilibrium social power depends only upon interpersonal influence and individuals' stubbornness. Roughly speaking, more stubborn individual has more equilibrium social power. Moreover, unlike the DF model without stubbornness, we prove that for the models with stubbornness, autocracy can never be achieved, while democracy can be achieved under any network topology.
format Preprint
id arxiv_https___arxiv_org_abs_1901_08727
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Social power evolution in influence networks with stubborn individuals
Tian, Ye
Jia, Peng
Mirtabatabaei, Anahita
Wang, Long
Friedkin, Noah E.
Bullo, Francesco
Systems and Control
This paper studies the evolution of social power in influence networks with stubborn individuals. Based on the Friedkin-Johnsen opinion dynamics and the reflected appraisal mechanism, two models are proposed over issue sequences and over a single issue, respectively. These models generalize the original DeGroot-Friedkin (DF) model by including stubbornness. To the best of our knowledge, this paper is the first attempt to investigate the social power evolution of stubborn individuals basing on the reflected appraisal mechanism. Properties of equilibria and convergence are provided. We show that the models have same equilibrium social power and convergence property, where the equilibrium social power depends only upon interpersonal influence and individuals' stubbornness. Roughly speaking, more stubborn individual has more equilibrium social power. Moreover, unlike the DF model without stubbornness, we prove that for the models with stubbornness, autocracy can never be achieved, while democracy can be achieved under any network topology.
title Social power evolution in influence networks with stubborn individuals
topic Systems and Control
url https://arxiv.org/abs/1901.08727