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The HoneyComb Paradigm for Research on Collective Human Behavior
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Adapting Axelrod's cultural dissemination model for simulating peer effects.

Christian Hofer1, Gernot Lechner1, Thomas Brudermann1

  • 1University of Graz, Institute of Systems Sciences, Innovation and Sustainability Research, Austria.

Methodsx
|January 6, 2017
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Summary

This study introduces a flexible agent-based modeling method for analyzing social data, inspired by citizen energy initiatives. It enhances cultural dissemination models to incorporate evolving interaction data and peer effects.

Keywords:
Agent-based modelingAgent-based modeling with incomplete empirical dataCultural disseminationDiffusion processesIncomplete dataPeer effects

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Area of Science:

  • Sociological data analysis
  • Agent-based modeling
  • Cultural dissemination

Background:

  • Classic Axelrod model for cultural dissemination lacks empirical interaction parameters.
  • Citizen photovoltaic initiatives demonstrate collective investment and profit sharing.

Purpose of the Study:

  • To present a generic method for agent-based modeling with incomplete, expandable sociological data.
  • To extend the Axelrod model for incorporating empirical social science data and peer effects.

Main Methods:

  • Agent-based modeling approach based on the Axelrod model.
  • Development of a variable and fine-tunable interaction function for agents.
  • Deployment of a generic procedure for modeling peer effects.

Main Results:

  • The extended model accommodates gradually expandable sociological data.
  • Enables consideration of empirical social science data for interaction.
  • Provides a flexible framework for modeling peer effects.

Conclusions:

  • The developed method offers a robust approach for agent-based modeling with evolving social data.
  • Facilitates the study of peer effects in social dynamics, inspired by citizen energy initiatives.