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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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Modelling transitions between egalitarian, dynamic leader and absolutist power structures
John Bryden1,2, Eric Silverman3, Simon T Powers4
1School of Biological Sciences, Royal Holloway, University of London, Egham, United Kingdom.
Plos One
|February 14, 2022
Summary
Human groups exhibit diverse leadership patterns. This study models leadership transitions, revealing how relationship inequalities can drive changes, similar to Neolithic societal shifts.
Area of Science:
- Social dynamics
- Anthropology
- Mathematical modeling
Background:
- Human groups display varied leadership structures, from egalitarian to absolutist.
- Understanding transitions between these leadership phases is crucial for social science.
- Previous models have not fully explored the impact of relationship inequalities.
Purpose of the Study:
- To model transitions between different leadership dynamics in human groups.
- To investigate the specific role of interpersonal inequalities in shaping leadership structures.
- To explore potential parallels between modeled dynamics and historical societal changes.
Main Methods:
- Development of a mathematical model simulating group leadership dynamics.
- Inclusion of parameters representing inequalities in relationships between individuals.
- Analysis of model outputs to identify patterns of leadership transition.
Main Results:
- A novel 'riches-to-rags' leadership dynamic was identified, where leaders can be replaced.
- Transitions between egalitarian, changing, and absolutist leadership phases were successfully modeled.
- The model suggests technological advancements (e.g., food storage, weapons) increase relationship inequality and influence leadership.
Conclusions:
- Individual relationship inequalities are a significant factor in leadership dynamics and structure.
- The modeled transitions bear resemblance to leadership changes observed during the Neolithic period.
- The study provides a framework for understanding how social and technological factors shape leadership evolution.
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