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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
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Identifier8JMKD3MGP3W34T/45STLAS
Repositorysid.inpe.br/mtc-m21d/2021/12.01.18.22   (restricted access)
Last Update2021:12.01.18.22.20 (UTC) simone
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Metadata Last Update2022:04.03.23.14.06 (UTC) administrator
DOI10.1140/epjs/s11734-021-00151-8
ISSN1951-6355
1951-6401
Citation KeyVega-OliverosCasaIannVazq:2021:MoInTo
TitleBi-layer voter model: modeling intolerant tolerant positions and bots in opinion dynamics
Year2021
MonthOct.
Access Date2024, May 09
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size887 KiB
2. Context
Author1 Vega-Oliveros, Didier A.
2 Casa Grande, Helder Luciani
3 Iannelli, Flávio
4 Vazquez, Federico
ORCID1 0000-0001-9569-3775
2 0000-0002-7129-5067
3 0000-0002-2436-3936
Group1
2 COPDT-CGIP-INPE-MCTI-GOV-BR
Affiliation1 Universidade Estadual de Campinas (UNICAMP)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universität Zürich, Andreasstrasse
4 Universidad de Buenos Aires
Author e-Mail Address1 davo@unicamp.br
2 heldercgrande@gmail.com
3 flavio.iannelli@business.uzh.ch
4 fede.vazmin@gmail.com
JournalEuropean Physical Journal: Special Topics
Volume230
Number14/15
Pages2875-2886
Secondary MarkA2_ENGENHARIAS_III A2_CIÊNCIAS_AGRÁRIAS_I B1_MEDICINA_I B1_INTERDISCIPLINAR B1_ENGENHARIAS_IV B1_ENGENHARIAS_I B2_QUÍMICA B2_ENGENHARIAS_II B5_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B5_ASTRONOMIA_/_FÍSICA C_CIÊNCIAS_BIOLÓGICAS_I C_CIÊNCIA_DE_ALIMENTOS C_BIODIVERSIDADE
History (UTC)2021-12-01 18:22:20 :: simone -> administrator ::
2021-12-01 18:22:22 :: administrator -> simone :: 2021
2021-12-01 18:23:11 :: simone -> administrator :: 2021
2022-04-03 23:14:06 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsThe diffusion of opinions in social networks is a relevant process for adopting positions and attracting potential voters in political campaigns. Opinion polarization
bias
targeted diffusion
and the radicalization of postures are key elements for understanding the voting dynamics' challenges. In particular
social bots are currently a new element that can have a pronounced effect on the formation of opinions during electoral processes by
for instance
creating fake accounts in social networks to manipulate elections. Here
we propose a voter model incorporating bots and radical or intolerant individuals in the decision-making process. The dynamics of the system occur in a multiplex network of interacting agents composed of two layers
one for the dynamics of opinions where agents choose between two possible alternatives
and the other for the tolerance dynamics
in which agents adopt one of the two tolerance levels. The tolerance accounts for the likelihood to change opinion in an interaction
with tolerant (intolerant) agents switching opinion with probability 1.0 (gamma <= 1). We find that intolerance leads to a consensus of tolerant agents during an initial stage that scales as tau(+)similar to gamma(-1) In N
who then reach an opinion consensus during the second stage in a time that scales as tau similar to N
where N is the number of agents. Therefore
very intolerant agents (gamma << 1) could considerably slow down dynamics towards the final consensus state. We also find that the inclusion of a fraction sigma(-)(B) of bots breaks the symmetry between both opinions
driving the system to a consensus of intolerant agents with the bots' opinion. Thus
bots eventually impose their opinion to the entire population
in a time that scales as tau(-)(B) similar to gamma(-1) for gamma << sigma(-)(B) and tau(-)(B) similar to 1/sigma(-)(B) ( )for sigma(-)(B) << gamma
AreaCOMP
Arrangementurlib.net > CGIP > Bi-layer voter model:...
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agreement Directory Content
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Target FileVega-Oliveros2021_Article_Bi-layerVoterModelModelingInto.pdf
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5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUES5
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.23.11 1
DisseminationWEBSCI; PORTALCAPES.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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