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Social Exchange Theory01:26

Social Exchange Theory

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...
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Related Experiment Video

Updated: May 24, 2026

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy
07:53

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

Collaboration in social networks.

Luca Dall'Asta1, Matteo Marsili, Paolo Pin

  • 1Dipartimento di Fisica, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.

Proceedings of the National Academy of Sciences of the United States of America
|March 3, 2012
PubMed
Summary
This summary is machine-generated.

Repeated interactions in social networks foster collaboration through game theory. "Collaborative equilibria" emerge, requiring a critical mass for cooperation, especially with high defection incentives.

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Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
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Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

Area of Science:

  • Social Network Analysis
  • Game Theory
  • Sociology

Background:

  • Social networks facilitate repeated interactions, enabling learning and strategic adaptation.
  • Game theory of repeated games demonstrates conditions favoring collaboration between two players.

Purpose of the Study:

  • To extend repeated game theory to local contribution games within social networks.
  • To identify and characterize
  • collaborative equilibria
  • in large network settings.

Main Methods:

  • Analysis of Nash equilibria in local contribution games on social networks.
  • Mathematical modeling of strategic interactions and incentive structures.

Main Results:

  • Identified
  • collaborative equilibria
  • interpretable as subgraphs within social networks.
  • Discovered that small incentives for defection rely on local structures, while large incentives require a critical mass.
  • Showed that high defection incentives can lead to system-wide collaboration collapse from individual deviations.
  • Found that higher defection incentives support equilibria with greater collaborator density.

Conclusions:

  • Rationality and credible threats underpin collaborative equilibria in social networks.
  • Network density and structural hubs are crucial for collaboration, aligning with sociological findings.
  • The study provides a game-theoretic framework explaining collaboration patterns observed in social systems.