Threshold Learning Dynamics in Social Networks
2011

Threshold Learning Dynamics in Social Networks

publication Evidence: moderate

Author Information

Author(s): González-Avella Juan Carlos, Eguíluz Victor M., Marsili Matteo, Vega-Redondo Fernando, San Miguel Maxi

Primary Institution: Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Palma de Mallorca, Spain

Hypothesis

What is the relationship between the quality of the signal and the threshold for action change that underlies the spread and consolidation of action?

Conclusion

Social learning occurs completely or not at all, depending on whether the threshold lies within a specific intermediate region.

Supporting Evidence

  • Social learning is influenced by the threshold for action change.
  • Correct learning occurs only when the threshold is within a specific range.
  • Local interaction enhances the chances of social learning.

Takeaway

People learn from each other, but sometimes they don't learn the right thing. If too many people are too stubborn or too quick to change, they might not learn correctly.

Methodology

The study uses a model where agents receive signals about two actions and switch based on their neighbors' choices if a certain threshold is met.

Limitations

The model assumes agents have no memory of past actions and only consider current signals and neighbors' actions.

Digital Object Identifier (DOI)

10.1371/journal.pone.0020207

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