Opinion Dynamics in Two-Layer Networks with Hypocrisy

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Opinion Dynamics in Two-Layer Networks with Hypocrisy. / Чжао, Чи ; Парилина, Елена Михайловна.

In: Journal of the Operations Research Society of China, Vol. 12, No. 1, 13.10.2023, p. 109–132.

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

BibTeX

@article{a707d1f83702471192f9bdad6215d5da,

title = "Opinion Dynamics in Two-Layer Networks with Hypocrisy",

abstract = "We propose a general concealed voter model (GCVM), in which individuals interact in two layers and can exchange their opinions in the internal layer. This interaction is not allowed in a CVM. By exchanging opinions in the internal layer, we mean that individuals share their real or internal opinions with their close friends. The process of opinion formation in GCVM is presented in the paper. We make the series of numerical simulations of GCVM with different network structures (both external and internal) and get some counterintuitive conclusions. For instance, we find out that sometimes with a relatively simple network structure of an external layer the consensus within the individuals{\textquoteright} opinions cannot be reached, and if individuals in the network are not good at expressing their opinions publicly (in an external layer), exchanging opinions with their close friends (in an internal layer) is almost useless.",

keywords = "Concealed voter model, General concealed voter model, Opinion dynamics, Voter model, C63, C73",

author = "Чи Чжао and Парилина, {Елена Михайловна}",

year = "2023",

month = oct,

day = "13",

doi = "10.1007/s40305-023-00503-2",

language = "English",

volume = "12",

pages = "109–132",

journal = "Journal of the Operations Research Society of China",

issn = "2194-668X",

publisher = "Springer Nature",

number = "1",

}

RIS

TY - JOUR

T1 - Opinion Dynamics in Two-Layer Networks with Hypocrisy

AU - Чжао, Чи

AU - Парилина, Елена Михайловна

PY - 2023/10/13

Y1 - 2023/10/13

N2 - We propose a general concealed voter model (GCVM), in which individuals interact in two layers and can exchange their opinions in the internal layer. This interaction is not allowed in a CVM. By exchanging opinions in the internal layer, we mean that individuals share their real or internal opinions with their close friends. The process of opinion formation in GCVM is presented in the paper. We make the series of numerical simulations of GCVM with different network structures (both external and internal) and get some counterintuitive conclusions. For instance, we find out that sometimes with a relatively simple network structure of an external layer the consensus within the individuals’ opinions cannot be reached, and if individuals in the network are not good at expressing their opinions publicly (in an external layer), exchanging opinions with their close friends (in an internal layer) is almost useless.

AB - We propose a general concealed voter model (GCVM), in which individuals interact in two layers and can exchange their opinions in the internal layer. This interaction is not allowed in a CVM. By exchanging opinions in the internal layer, we mean that individuals share their real or internal opinions with their close friends. The process of opinion formation in GCVM is presented in the paper. We make the series of numerical simulations of GCVM with different network structures (both external and internal) and get some counterintuitive conclusions. For instance, we find out that sometimes with a relatively simple network structure of an external layer the consensus within the individuals’ opinions cannot be reached, and if individuals in the network are not good at expressing their opinions publicly (in an external layer), exchanging opinions with their close friends (in an internal layer) is almost useless.

KW - Concealed voter model

KW - General concealed voter model

KW - Opinion dynamics

KW - Voter model

KW - C63

KW - C73

UR - https://www.mendeley.com/catalogue/9d4a1ad3-4264-3fae-b531-b9dd8a1a31c9/

U2 - 10.1007/s40305-023-00503-2

DO - 10.1007/s40305-023-00503-2

M3 - Article

VL - 12

SP - 109

EP - 132

JO - Journal of the Operations Research Society of China

JF - Journal of the Operations Research Society of China

SN - 2194-668X

IS - 1

ER -

ID: 111450627