Evidence map›Paper›PMID 40475900›Full record

ArticleIFAC-PapersOnLine2024

Geometric Aspects of Observability of Hypergraphs.

Joshua Pickard, Cooper Stansbury, Amit Surana, Indika Rajapakse, Anthony Bloch

Abstract read
In one paragraph

Article in IFAC-PapersOnLine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. KRONECKER PRODUCT OF TENSORS AND HYPERGRAPHS: STRUCTURE AND DYNAMICS.SIAM journal on matrix analysis and applications : a publication of the Society for Industrial and Applied Mathematics · 2024
    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

5 authors.

Joshua PickardDepartment of Computational Medicine & Bioinformatics, Medical School, University of Michigan, Ann Arbor, MI 48109 USA.
Cooper StansburyDepartment of Computational Medicine & Bioinformatics, Medical School, University of Michigan, Ann Arbor, MI 48109 USA.
Amit SuranaRTX Technology Research Center, East Hartford, CT 06108 USA.
Indika RajapakseDepartment of Computational Medicine & Bioinformatics, Medical School and Department of Mathematics, University of Michigan, Ann Arbor, MI 48109 USA.
Anthony BlochDepartment of Mathematics, University of Michigan, Ann Arbor, MI 48109 USA.

Funding

Systems and Integrative Biology Training ProgramT32GM150581 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DANIEL A BEARD · 2023 to 2026
$1.2M
NIGMS NIH HHS T32 GM150581
6 · The paper itself

Abstract

In this paper we consider aspects of geometric observability for hypergraphs, extending our earlier work from the uniform to the nonuniform case. Hypergraphs, a generalization of graphs, allow hyperedges to connect multiple nodes and unambiguously represent multi-way relationships which are ubiquitous in many real-world networks including those that arise in biology. We consider polynomial dynamical systems with linear outputs defined according to hypergraph structure, and we propose methods to evaluate local, weak observability.

Indexed as

hypergraphsnetworksObervability

Identifiers

PMID40475900
PMCPMC12140105

What OpenQuestion holds

Textmetadata
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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.