Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Conformity

Conformity

Conformity is the change in a person’s behavior to go along with the group, even if that person does not agree with the group.

Relationship Formation

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,...

Impact of Groups on Individuals

Impact of Groups on Individuals

Groups play a fundamental role in shaping individual behavior, as they establish norms that guide interactions and decision-making. Social psychology examines how individuals conform to group expectations, often adjusting their attitudes and actions to align with group norms. These norms can be formal, such as workplace policies, or informal, such as unspoken social expectations within a fraternity.Conformity and Social InfluenceConformity arises when individuals modify their behaviors or...

In- and Out-Groups

In- and Out-Groups

People all belong to a gender, race, age, and social economic group. These groups provide a powerful source of our identity and self-esteem (Tajfel & Turner, 1979) and serve as our in-groups. An in-group is a group that we identify with or see ourselves as belonging to.

Stratified Sampling Method

Stratified Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...

Social Proof

Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Coevolution of relationship and interaction in cooperative dynamical multiplex networks.

Chaos (Woodbury, N.Y.)·2024

Same author

Inhibition and activation of interactions in networked weak prisoner's dilemma.

Chaos (Woodbury, N.Y.)·2023

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 14, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Conformist filtering reshapes cooperation in heterogeneous populations.

¹IMT School for Advanced Studies, Piazza San Francesco 19, 55100 Lucca, Italy.

Chaos (Woodbury, N.Y.)

|July 13, 2026

Summary

Cooperation in structured populations is shaped by behavioral diversity and network structure. This study introduces a framework showing how different strategies and network positions influence collective behavior, revealing optimal intervention strategies.

More Related Videos

Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions

Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions

Published on: July 22, 2022

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

Related Experiment Videos

Last Updated: Jul 14, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions

Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions

Published on: July 22, 2022

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

Area of Science:

Evolutionary Dynamics
Network Science
Game Theory

Background:

Cooperation emergence in structured populations is a key evolutionary dynamics problem.
Spatial placement of heterogeneous updating rules and conformist behavior on networks is less understood.
Weak-selection conditions for cooperation in heterogeneous populations require further characterization.

Purpose of the Study:

To develop a theoretical framework for cooperation in structured populations with behavioral heterogeneity.
To analytically derive conditions for cooperation under weak selection.
To identify network structural features influencing evolutionary outcomes.

Main Methods:

Incorporating quenched behavioral heterogeneity (fitness-driven strategists vs. conformists).
Mapping evolutionary dynamics onto a conformist-filtering random walk.
Deriving analytical conditions for cooperation and identifying node-level influence quantities.

Main Results:

Behavioral heterogeneity reshapes cooperative dynamics via a conformist-filtering mechanism.
Optimal intervention strategies are non-nested, varying with budget size.
A 'gatekeeper effect' is observed where bridging nodes disproportionately influence cooperation.

Conclusions:

Cooperation in heterogeneous populations depends on both network topology and behavioral diversity.
The study provides a principled framework for optimizing collective behavior in complex networks.
Understanding behavioral heterogeneity and network structure is crucial for promoting cooperation.