Evidence map›Paper›PMID 41149188›Full record

ArticleBiomimetics (Basel, Switzerland)2025

TrailMap: Pheromone-Based Adaptive Peer Matching for Sustainable Online Support Communities.

Harold Ngabo-Woods, Larisa Dunai, Isabel Seguí Verdú, Dinu Turcanu

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Harold Ngabo-WoodsUniversitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0001-8043-1713
Larisa DunaiDepartment of Graphical Engineering, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0002-5076-0695
Isabel Seguí VerdúDepartment of Graphical Engineering, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0009-0009-5976-3348
Dinu TurcanuDepartment of Software Engineering and Automatics, Technical University of Moldova, MD-2004 Chisinau, Moldova.ORCID 0000-0001-5540-4246

Funding

BGDV-Hanbo Research under Grant BRI.18.G.109.RW
6 · The paper itself

Abstract

Online peer support platforms are vital, scalable resources for mental health, yet their effectiveness is frequently undermined by inefficient user matching, severe participation inequality, and subsequent "super-helper" burnout. This study introduces TrailMap, a novel peer-matching algorithm inspired by the decentralised foraging strategies of ant colonies. By treating user interactions as paths that gain or lose "pheromone" based on helpfulness ratings, the system enables the community to collectively and adaptively identify its most effective helpers. A two-phase validation study was conducted. First, an agent-based simulation demonstrated that TrailMap reduced the mean time to a helpful response by over 70% and improved workload equity compared to random routing. Second, a four-week randomised controlled pilot study with human participants confirmed these gains, showing a 76% reduction in median wait time and significantly higher perceived helpfulness ratings. The findings suggest that by balancing the workload, TrailMap enhances not only the efficiency but also the socio-technical sustainability of online support communities. TrailMap provides a practical, nature-inspired method for building more resilient and equitable online support communities, enhancing access to effective mental health support.

Indexed as

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

Identifiers

PMID41149188
PMCPMC12561731

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.