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Michelle Feng

Datos Biográficos

ID4984591
NOMBREMichelle Feng
NOMBRESMichelle
APELLIDOFeng
FIRMAFENG M
AFILIACIONESCalifornia Institute of Technology
ORCID0000-0001-5048-6430
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H0
  • An Adaptive Bounded-Confidence Model of Opinion Dynamics on Networks

    Unchitta Kan, Michelle Feng et al.•PREPRINT•2021

    Individuals who interact with each other in social networks often exchange ideas and influence each other's opinions. A popular approach to studying the dynamics of opinion spread on networks is by examining bounded-confidence (BC) models, in which the nodes of a network have continuous-valued states that encode their opinions and are receptive to other opinions if they lie within some confidence bound of their own opinion. We extend the Deffuant…

Sin obras prominentes en esta página.

  • An Adaptive Bounded-Confidence Model of Opinion Dynamics on Networks

    Unchitta Kan, Michelle Feng et al.•PREPRINT•2021

    Individuals who interact with each other in social networks often exchange ideas and influence each other's opinions. A popular approach to studying the dynamics of opinion spread on networks is by examining bounded-confidence (BC) models, in which the nodes of a network have continuous-valued states that encode their opinions and are receptive to other opinions if they lie within some confidence bound of their own opinion. We extend the Deffuant…

Bounded function (1 obra) · Complex Network Analysis Techniques (1 obra) · Computer Science (1 obra) · Homophily (1 obra) · Mathematics (1 obra) · Opinion Dynamics and Social Influence (1 obra) · Physics (1 obra) · Psychology (1 obra) · Social Capital and Networks (1 obra) · Social Psychology (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae