Consensus and Clustering of Expressed and Private Opinions in Dynamical Networks Against Attacks

Yilun Shang

doi:10.1109/JSYST.2019.2956116

Consensus and Clustering of Expressed and Private Opinions in Dynamical Networks Against Attacks

Yilun Shang

Computer Information Sciences Department

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

30 Downloads (Pure)

Abstract

A continuous-time opinion dynamics with both expressed and private opinions on a given topic is introduced. An opinion consensus strategy is proposed to achieve resilience consensus against Byzantine attacks in dynamical networks. Necessary and sufficient criteria are established for guaranteeing consensus among normal nodes when the attacks are bounded in each neighborhood of normal nodes. A modification that allows opinion clustering, featuring nonglobal consensus, is presented. Numerical examples are worked out to illustrate the effectiveness of our theoretical results.

Original language	English
Pages (from-to)	2078-2084
Journal	IEEE Systems Journal
Volume	14
Issue number	2
Early online date	12 Dec 2019
DOIs	https://doi.org/10.1109/JSYST.2019.2956116
Publication status	Published - 1 Jun 2020

Keywords

Attack
concensus
clustering
expressed opinion
opinion dynamics
social networks

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10.1109/JSYST.2019.2956116

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title = "Consensus and Clustering of Expressed and Private Opinions in Dynamical Networks Against Attacks",

abstract = "A continuous-time opinion dynamics with both expressed and private opinions on a given topic is introduced. An opinion consensus strategy is proposed to achieve resilience consensus against Byzantine attacks in dynamical networks. Necessary and sufficient criteria are established for guaranteeing consensus among normal nodes when the attacks are bounded in each neighborhood of normal nodes. A modification that allows opinion clustering, featuring nonglobal consensus, is presented. Numerical examples are worked out to illustrate the effectiveness of our theoretical results.",

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author = "Yilun Shang",

note = "Research funded by Northumbria University, UoA Flexible Fund (201920A1001)",

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AB - A continuous-time opinion dynamics with both expressed and private opinions on a given topic is introduced. An opinion consensus strategy is proposed to achieve resilience consensus against Byzantine attacks in dynamical networks. Necessary and sufficient criteria are established for guaranteeing consensus among normal nodes when the attacks are bounded in each neighborhood of normal nodes. A modification that allows opinion clustering, featuring nonglobal consensus, is presented. Numerical examples are worked out to illustrate the effectiveness of our theoretical results.

KW - Attack

KW - concensus

KW - clustering

KW - expressed opinion

KW - opinion dynamics

KW - social networks

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DO - 10.1109/JSYST.2019.2956116

M3 - Article

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EP - 2084

JO - IEEE Systems Journal

JF - IEEE Systems Journal

IS - 2

ER -

Consensus and Clustering of Expressed and Private Opinions in Dynamical Networks Against Attacks

Abstract

Keywords

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