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

Search research articles

Related Experiment Videos

Spontaneous group formation in the seceder model.

P Dittrich¹, F Liljeros, A Soulier

¹University of Dortmund, Department of Computer Science XI, D-44221 Dortmund, Germany.

Physical Review Letters

|October 6, 2000

Summary

The seceder model explains group formation driven by individual differences. This simulation shows how population size impacts the emergence of distinct groups through reproduction and mutation.

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Shotgun metagenomic screening to improve the retrospective diagnosis of undocumented intrauterine infections on embedded placenta samples: Lessons from a brucellosis case.

Infectious diseases now·2023

Same author

Viral kinetics analysis and virological characterization of treatment failures in patients with chronic hepatitis C treated with sofosbuvir and an NS5A inhibitor.

Alimentary pharmacology & therapeutics·2017

Same author

Veterinary pharmaceutical contamination in mixed land use watersheds: from agricultural headwater to water monitoring watershed.

The Science of the total environment·2017

Same author

Performance of rapid diagnostic tests for the detection of antibodies to hepatitis C virus in whole blood collected on dried blood spots.

Journal of viral hepatitis·2016

Same author

Prospective assessment of rapid diagnostic tests for the detection of antibodies to hepatitis C virus, a tool for improving access to care.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases·2016

Same author

Chemical computing with reaction-diffusion processes.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2015

Area of Science:

Computational modeling
Social dynamics
Evolutionary algorithms

Background:

Understanding the emergence of social groups is fundamental in various scientific disciplines.
Previous models often focus on cooperation or competition, but the role of individual distinctiveness is less explored.

Purpose of the Study:

To introduce and analyze the seceder model, a novel computational approach to simulate group formation.
To investigate how a local tendency for entities to be different drives the emergence of collective structures.
To examine the influence of population size on the observed group formation dynamics.

Main Methods:

A simulation-based approach using a population of simple entities undergoing reproduction and death cycles.
Reproduction is driven by selecting three random individuals and replicating the one furthest from the population's center, introducing mutation.

Related Experiment Videos

Offspring replace randomly selected individuals within the population.

Main Results:

The seceder model successfully demonstrates complex group formation behavior.
The emergent group structures are shown to be dependent on the overall population size.
The simulation highlights how individual-driven differences can lead to macroscopic social patterns.

Conclusions:

The seceder model provides a parsimonious explanation for group formation based on individual divergence.
Population size is a critical parameter influencing the scale and nature of emergent groups.
This model offers a new perspective on understanding social organization through agent-based simulations.