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Related Concept Videos

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Social Facilitation

Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
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Social Exchange Theory01:26

Social Exchange Theory

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Related Experiment Video

Updated: Jun 1, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Threshold learning dynamics in social networks.

Juan Carlos González-Avella1, Victor M Eguíluz, Matteo Marsili

  • 1Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Palma de Mallorca, Spain. juancarlos@ifisc.uib-csic.es

Plos One
|June 4, 2011
PubMed
Summary
This summary is machine-generated.

Social learning, aggregating information through social interaction, can fail. A threshold process reveals three regimes: correct learning, system freeze, or persistent flux, with limited interaction promoting learning.

Related Experiment Videos

Last Updated: Jun 1, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Area of Science:

  • Social Sciences
  • Behavioral Economics
  • Network Science

Background:

  • Social learning enables populations to aggregate information via social interaction mechanisms.
  • Consumers and voters often rely on social signals alongside personal information.
  • Economic models predict successful social learning in large populations without unbounded influence.

Purpose of the Study:

  • To challenge the economic model's prediction of guaranteed social learning.
  • To investigate the impact of individual adjustment thresholds on social learning outcomes.
  • To identify conditions promoting or hindering accurate information aggregation in populations.

Main Methods:

  • Developed a model based on an intuitive threshold process for individual adjustment.
  • Analyzed the emergent dynamics of social learning across different population sizes and network structures.
  • Identified distinct regimes of population behavior based on the adjustment threshold.

Main Results:

  • Discovered three generic regimes of social learning outcomes separated by discontinuous transitions.
  • Correct social learning occurs only when the individual adjustment threshold is within an intermediate range.
  • Thresholds too high lead to system 'freeze,' while thresholds too low result in 'persistent flux'.

Conclusions:

  • Individual adjustment thresholds critically determine the success of social learning.
  • Economic models' predictions of universal social learning are not always accurate.
  • Limited social interaction can expand the conditions favorable for accurate social learning.