Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Social Exchange Theory02:06

Social Exchange Theory

39.4K
We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
39.4K
Social Exchange Theory01:26

Social Exchange Theory

391
As formulated by John Thibaut and Harold Kelley, Social Exchange Theory explains human relationships as economic-like exchanges that maximize rewards and minimize costs. This theory suggests that individuals engage in relationships to gain benefits and reduce burdens, similar to economic transactions. It has been widely applied to various types of relationships, including romantic, professional, and social interactions.Rewards and Costs in RelationshipsRelationship rewards include emotional...
391
Social Foundations of Self IV: Self in Digital Communication01:30

Social Foundations of Self IV: Self in Digital Communication

166
Since the early 2000s, computer-mediated communication (CMC) has grown rapidly, playing a crucial role in self-development. A key distinction between CMC and real-life interactions is the lack of a physically present partner. This absence makes non-verbal cues such as facial expressions, body language, and paralinguistic signals unavailable in CMC platforms like email, instant messaging, or social media. The lack of these cues can create ambiguity and complicate how feedback is interpreted.The...
166
Relationship Formation02:12

Relationship Formation

45.2K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
45.2K
Social Identity01:29

Social Identity

238
Social identity constitutes a significant aspect of an individual’s self-concept, shaped by membership in various social groups, including gender, nationality, ethnicity, sexual orientation, and political affiliation. Individuals associate specific traits with particular social groups, leading to internalization of these traits. For example, musicians are often perceived as creative, while women are frequently associated with nurturing tendencies. Once individuals identify with a...
238
Group Polarization01:01

Group Polarization

38.4K
Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
38.4K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Continuous growth of social polarization for scale-free networks.

Chaos (Woodbury, N.Y.)·2026
Same author

Estimating an affine term structure model of interest rates with correlated noise.

PloS one·2025
Same author

Reconstructing community structure of online social network via user opinions.

Chaos (Woodbury, N.Y.)·2022
Same author

Optimal resilience of modular interacting networks.

Proceedings of the National Academy of Sciences of the United States of America·2021
Same author

Selective transport capacity for K<sup>+</sup> over Na<sup>+</sup> is linked to the expression levels of PtSOS1 in halophyte Puccinellia tenuiflora.

Functional plant biology : FPB·2020
Same author

A dual-gas sensor for simultaneous detection of methane and acetylene based on time-sharing scanning assisted wavelength modulation spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2020

Video Experimental Relacionado

Updated: Jan 14, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.5K

Reconstrucción de redes sociales impulsada por líderes

Rende Li1,2, Qiang Guo2, Jianguo Liu3

  • 1Library, University of Shanghai for Science and Technology, Shanghai 200093, China.

Chaos (Woodbury, N.Y.)
|January 13, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Los líderes con menor centralidad mejoran la precisión de la reconstrucción de la red al preservar la diversidad de la información, desafiando las estrategias tradicionales. El rendimiento óptimo se logra con líderes conservadores y tercos en comunidades tolerantes.

Palabras clave:
dinámica de opinionesreconstrucción de redesagentes inteligentesaprendizaje automáticociencia de redesagentes socialesredes sociales

Más Videos Relacionados

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.3K
The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.8K

Videos de Experimentos Relacionados

Last Updated: Jan 14, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.5K
A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.3K
The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.8K

Área de la Ciencia:

  • Ciencias Sociales Computacionales; Ciencia de Redes; Dinámica de Opiniones

Sus antecedentes:

  • La comprensión de la influencia de los líderes de opinión en la reconstrucción de la red es crucial.; Las estrategias existentes a menudo priorizan los nodos de alta centralidad.

Objetivo del estudio:

  • Investigar cómo las características de los líderes de opinión afectan la precisión de la reconstrucción de la red.; Desarrollar un marco novedoso que integre la dinámica de opiniones y la detección de señales comprimidas.

Principales métodos:

  • Se desarrolló un marco que combina la dinámica de opiniones impulsada por líderes con la detección de señales comprimidas.; Se evaluó experimentalmente la centralidad de los nodos, la opinión inicial, la tasa de aceptación y la homogeneidad de la opinión.; Se probó en tres redes del mundo real y tres redes sintéticas.

Principales resultados:

  • Los líderes con menor centralidad superan consistentemente a los nodos altamente centrales en la reconstrucción.; La alta centralidad conduce a una rápida convergencia de opiniones, lo que reduce la diversidad esencial de la información.; Los líderes extremadamente conservadores (o=0.0) con alta terquedad (α=1.0) funcionan de manera óptima en comunidades moderadamente tolerantes (ε=0.5).

Conclusiones:

  • El liderazgo de opinión eficaz para la reconstrucción de la red depende de factores específicos de la dinámica, no solo de la importancia estructural.; Los hallazgos desafían la selección convencional de líderes basada en la centralidad.; Implicaciones para la comunicación de marketing, salud pública y crisis.