Evidence map›Paper›PMID 37014883›Full record

ArticlePloS one2023

Overlapping communities detection through weighted graph community games.

Stefano Benati, Justo Puerto, Antonio M Rodríguez-Chía, Francisco Temprano

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Stefano BenatiDipartimento di Sociologia e Ricerca Sociale, Università di Trento, Trento, Italy.ORCID 0000-0002-1928-5224
Justo PuertoIMUS, Universidad de Sevilla, Sevilla, Spain.
Antonio M Rodríguez-ChíaFaculty of Sciences, Universidad de Cádiz, Puerto Real (Cádiz), Spain.
Francisco TempranoIMUS, Universidad de Sevilla, Sevilla, Spain.ORCID 0000-0002-9137-5814

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose a new model to detect the overlapping communities of a network that is based on cooperative games and mathematical programming. More specifically, communities are defined as stable coalitions of a weighted graph community game and they are revealed as the optimal solution of a mixed-integer linear programming problem. Exact optimal solutions are obtained for small and medium sized instances and it is shown that they provide useful information about the network structure, improving on previous contributions. Next, a heuristic algorithm is developed to solve the largest instances and used to compare two variations of the objective function.

Indexed as

AlgorithmsProgramming, LinearHeuristics

Identifiers

PMID37014883
PMCPMC10072486

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.