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Related Concept Videos

Social Foundations of Self I: Play and Game01:24

Social Foundations of Self I: Play and Game

The development of self in children is deeply rooted in social interactions, mainly through stages of play and structured games. These stages, outlined by sociologist George Herbert Mead, illustrate how children progressively learn to understand and adopt social roles, forming a cohesive sense of self.The Play Stage: Imitation and Simple Role-TakingIn the early years of childhood, the play stage is characterized by imitative behavior, where children engage in role-playing based on familiar...
Social Foundations of Self II: The Generalized Other01:20

Social Foundations of Self II: The Generalized Other

According to George Herbert Mead, as children progress beyond the game stage, they develop a more comprehensive understanding of societal rules and norms. This cognitive and social development enables them to internalize the expectations of the broader community, refining their ability to regulate behavior.Consistent participation in organized activities is crucial in helping children recognize that their actions are not isolated but contribute to a more significant, interconnected group effort.
Relationship Formation02:12

Relationship Formation

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,...
Randomized Experiments01:13

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
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Social Scripts02:10

Social Scripts

People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter), the opening...
The Stanford Prison Experiment03:20

The Stanford Prison Experiment

The famous and controversial Stanford Prison Experiment, conducted by social psychologist Philip Zimbardo and his colleagues at Stanford University, demonstrated the power of social roles, social norms, and scripts.

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Related Experiment Video

Updated: Jun 1, 2026

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

Axelrod's metanorm games on networks.

José M Galán1, Maciej M Łatek, Seyed M Mussavi Rizi

  • 1Área de Organización de Empresas, Departamento de Ingeniería Civil, Universidad de Burgos, Burgos, Spain. jmgalan@ubu.es

Plos One
|June 10, 2011
PubMed
Summary

Metanorms promote cooperation in social dilemmas by leveraging network structures. Network topology significantly impacts metanorms

Area of Science:

  • Social dynamics
  • Network science
  • Game theory

Background:

  • Cooperation in social dilemmas is crucial but challenging to establish.
  • Metanorms offer a mechanism to promote cooperation.
  • Emergence of cooperative norms is influenced by social interaction network structures.

Purpose of the Study:

  • To generalize Axelrod's metanorms analysis to network interactions.
  • To investigate the impact of network topology on metanorms' effectiveness.
  • To identify key network properties influencing cooperation.

Main Methods:

  • Simulation and mathematical modeling of metanorms dynamics on networks.
  • Analysis of Axelrod's metanorms framework in a network context.

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Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
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Published on: December 16, 2010

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Last Updated: Jun 1, 2026

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

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
13:40

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Published on: December 16, 2010

Main Results:

  • Network topology significantly influences the success of the metanorms mechanism.
  • Specific network properties critically affect cooperation levels.
  • Average degree, clustering coefficient, and average triplets per node are key factors.

Conclusions:

  • Metanorms' effectiveness in fostering cooperation is highly dependent on the underlying social network structure.
  • Understanding network topology is essential for designing effective cooperation-promoting mechanisms.
  • Network properties like average degree, clustering, and triplet counts determine cooperation sustainability.