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Updated: Jan 13, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
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TrailMap: Pheromone-Based Adaptive Peer Matching for Sustainable Online Support Communities.

Harold Ngabo-Woods1,2, Larisa Dunai3, Isabel Seguí Verdú3

  • 1Universitat Politècnica de València, 46022 Valencia, Spain.

Biomimetics (Basel, Switzerland)
|October 28, 2025
PubMed
Summary
This summary is machine-generated.

TrailMap, a novel algorithm inspired by ant colonies, improves online mental health support by efficiently matching users and reducing wait times. This nature-inspired approach enhances community sustainability and equitable participation.

Keywords:
ant colony optimisationbiomimetic routingdigital peer supportdigital therapeutics (DTx)load balancingmental health HCIparticipation inequalitystigmergy

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Area of Science:

  • Computer Science
  • Social Sciences
  • Mental Health

Background:

  • Online peer support platforms are crucial for mental health but suffer from inefficient user matching and unequal participation.
  • Inefficient matching leads to "super-helper" burnout and reduced platform effectiveness.

Purpose of the Study:

  • Introduce TrailMap, a novel peer-matching algorithm inspired by ant colony foraging strategies.
  • Validate TrailMap's effectiveness in improving efficiency, workload equity, and user experience in online support communities.

Main Methods:

  • Agent-based simulation to assess TrailMap's performance against random routing.
  • A four-week randomized controlled pilot study with human participants to evaluate real-world effectiveness.

Main Results:

  • TrailMap reduced mean time to a helpful response by over 70% in simulations.
  • Human trials showed a 76% reduction in median wait time and higher perceived helpfulness.
  • Improved workload equity and enhanced socio-technical sustainability of online support communities.

Conclusions:

  • TrailMap offers a practical, nature-inspired solution for building more resilient and equitable online mental health support communities.
  • The algorithm enhances efficiency and sustainability by balancing workload and identifying effective helpers.
  • TrailMap improves access to effective mental health support through optimized peer matching.