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Related Experiment Video

Updated: May 13, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Opinions, conflicts, and consensus: modeling social dynamics in a collaborative environment.

János Török¹, Gerardo Iñiguez, Taha Yasseri

¹Institute of Physics, Budapest University of Technology and Economics, H-1111 Budapest, Hungary.

Physical Review Letters

|March 12, 2013

Summary

This summary is machine-generated.

This study models online collaboration conflicts, showing how agent replacement can shift consensus to perpetual conflict, mirroring Wikipedia dynamics.

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Area of Science:

Computational Social Science
Information Science

Background:

Information-communication technology fosters collaborative platforms like Wikipedia.
These platforms can experience controversy and conflict despite their collaborative nature.

Purpose of the Study:

To model the emergence, persistence, and resolution of conflicts in collaborative online environments.
To understand the dynamics of opinion formation and consensus-building.

Main Methods:

Development of an extended opinion dynamics model.
Agents with differing opinions collaborate on a task to create a consensual product.
Analysis of the model's behavior as a function of a convergence parameter and agent replacement rate.

Main Results:

The model demonstrates spontaneous symmetry breaking of the consensus opinion based on the convergence parameter.
Introducing agent replacement leads to a transition from consensus to perpetual conflict.
These findings qualitatively align with observed scenarios on Wikipedia.

Conclusions:

Agent replacement is a critical factor in the transition from online collaboration consensus to persistent conflict.
The opinion dynamics model provides insights into the complex social dynamics of large-scale collaborative platforms.