Evidence map›Paper›PMID 34441212›Full record

ArticleEntropy (Basel, Switzerland)2021

Mathematical Models to Measure the Variability of Nodes and Networks in Team Sports.

Fernando Martins, Ricardo Gomes, Vasco Lopes, Frutuoso Silva, Rui Mendes

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

5 authors.

Fernando MartinsInstituto Politécnico de Coimbra, ESEC, UNICID-ASSERT, 3030-329 Coimbra, Portugal.ORCID 0000-0002-1812-2300
Ricardo GomesInstituto Politécnico de Coimbra, ESEC, UNICID-ASSERT, 3030-329 Coimbra, Portugal.ORCID 0000-0003-2310-1560
Vasco LopesDepartment of Informatics, Universidade da Beira Interior, 6201-001 Covilhã, Portugal.ORCID 0000-0002-5577-1094
Frutuoso SilvaInstituto de Telecomunicações, Delegação da Covilhã, 6201-001 Covilhã, Portugal.ORCID 0000-0002-0611-6157
Rui MendesInstituto Politécnico de Coimbra, ESEC, UNICID-ASSERT, 3030-329 Coimbra, Portugal.ORCID 0000-0002-2433-5193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pattern analysis is a widely researched topic in team sports performance analysis, using information theory as a conceptual framework. Bayesian methods are also used in this research field, but the association between these two is being developed. The aim of this paper is to present new mathematical concepts that are based on information and probability theory and can be applied to network analysis in Team Sports. These results are based on the transition matrices of the Markov chain, associated with the adjacency matrices of a network with

Indexed as

dynamical systemsentropyfootballMarkov chainperformance analysissocial network analysis

Identifiers

PMID34441212
PMCPMC8391405

What OpenQuestion holds

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LicenceCC BY
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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.