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The HoneyComb Paradigm for Research on Collective Human Behavior
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Unfolding large-scale online collaborative human dynamics.

Yilong Zha1,2,3,4, Tao Zhou5,6,7, Changsong Zhou8,3,4,6,9

  • 1CompleX Lab, Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China.

Proceedings of the National Academy of Sciences of the United States of America
|December 3, 2016
PubMed
Summary
This summary is machine-generated.

Analyzing Wikipedia edits reveals a universal double-power-law pattern in human collaboration. A new model explains this complex activity through individual actions, interactions, and population growth, uncovering underlying simplicity.

Keywords:
double power lawhuman dynamicsmultibranchingonline collaboration

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Area of Science:

  • Complex systems science
  • Computational social science
  • Network science

Background:

  • Understanding large-scale human activities quantitatively is challenging.
  • Online collaborative platforms offer precise event timing for analysis.
  • Previous research lacked a unified model for complex human interactions.

Purpose of the Study:

  • To identify universal patterns in collaborative human activities.
  • To develop a generic model explaining these patterns.
  • To reveal the underlying simplicity in complex human behaviors.

Main Methods:

  • Empirical analysis of millions of Wikipedia article updates.
  • Statistical analysis of time intervals between consecutive updates.
  • Development of a three-module model (individual behavior, interaction, population growth).

Main Results:

  • A universal double-power-law distribution was found for time intervals between Wikipedia updates.
  • The proposed generic model analytically explains the observed empirical patterns.
  • The model successfully unfolds complex human activities into distinct modules.

Conclusions:

  • Complex human activities exhibit universal, predictable patterns.
  • A simplified, modular model can capture the dynamics of large-scale collaboration.
  • This research provides a quantitative framework for understanding social and economic phenomena.