Evidence map›Paper›PMID 41409200›Full record

ArticlePNAS nexus2025

Self-organization of common good usage and an application to Internet services.

Diogo L Pires, Vincenzo Mancuso, Paolo Castagno, Marco Ajmone Marsan

Abstract read
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Diogo L PiresCopenhagen Center for Social Data Science, University of Copenhagen, 1353 Copenhagen K, Denmark.ORCID https://orcid.org/0000-0002-6069-7474
Vincenzo MancusoDepartment of Engineering, University of Palermo, 90133 Palermo, Italy.ORCID https://orcid.org/0000-0002-4661-381X
Paolo CastagnoComputer Science Department, University of Turin, 10125 Turin, Italy.ORCID https://orcid.org/0000-0002-1349-1844
Marco Ajmone MarsanIMDEA Networks Institute, 28918 Leganes (Madrid), Spain.ORCID https://orcid.org/0000-0002-9560-7053

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural and human-made common goods present key challenges due to their susceptibility to degradation, overuse, and congestion. We explore the self-organization of their usage when individuals have access to several available commons but limited information on them. We propose an extension of the Win-Stay, Lose-Shift (WSLS) strategy for such systems, in which individuals use a resource repeatedly until they are unsuccessful and then shift randomly. This simple and completely decentralized strategy promotes balanced resource use based solely on individual experience, as it does not require communication between individuals nor a governing institution to coordinate usage. Selective individuals who retain information on their usage and accordingly adapt their tolerance to failure in each common good improve the experienced quality for all individuals in the population. Even in hybrid populations of adaptive and nonadaptive individuals, the WSLS strategy allows self-organization into an ideal distribution with equal experienced quality across common goods. We apply this strategy to the server selection problem faced by mobile users when accessing Internet services. Realistic simulations demonstrate its success, scalability, and robustness to dynamic system conditions. Furthermore, the WSLS strategy can be used to understand animal dispersal on grazing and foraging land, to propose solutions to operators of systems of public transport and other technological commons, and to address problems of common good usage in social systems through decentralized governance rather than control-oriented policies.

Indexed as

common goodscomplex systemshybrid systemsmobile networksmultiagent reinforcement learning

Identifiers

PMID41409200
PMCPMC12707203

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.