Evidence map›Paper›PMID 41035508›Full record

ArticleRoyal Society open science2025

An analysis of silk density in spider webs.

Fangyuan Lin, Kathryn Michelle Nagel, Seewoo Lee, Jason Jiang, Grant Yang, Patrick Chang, Samuel Chengda Li, Norman Sheu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Royal Society open science, 2025. 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. An analysis of silk density in spider webs.Royal Society open science · 2025
    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

8 authors.

Fangyuan LinUniversity of California Berkeley, Berkeley, CA, USA.ORCID https://orcid.org/0009-0004-0961-9157
Kathryn Michelle NagelDepartment of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, CA, USA.ORCID https://orcid.org/0000-0003-3521-1169
Seewoo LeeDepartment of Mathematics, University of California Berkeley, Berkeley, CA, USA.ORCID https://orcid.org/0000-0002-5710-2257
Jason JiangUniversity of California Berkeley, Berkeley, CA, USA.ORCID https://orcid.org/0009-0005-9787-797X
Grant YangUniversity of California Berkeley, Berkeley, CA, USA.ORCID https://orcid.org/0009-0008-3115-878X
Patrick ChangUniversity of California Berkeley, Berkeley, CA, USA.ORCID https://orcid.org/0009-0009-5289-6885
Samuel Chengda LiUniversity of California Berkeley, Berkeley, CA, USA.ORCID https://orcid.org/0009-0009-4143-6939
Norman SheuDepartment of Mathematics, University of California Berkeley, Berkeley, CA, USA.ORCID https://orcid.org/0009-0007-1207-7979

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the structural complexity of spider webs through information-theoretic and harmonicity-based frameworks to quantify spatial patterns in silk density across different web regions and reveal the underlying resource allocation strategies. Currently, there is no normalized approach for describing web structure and complexity, particularly for sheet webs, and this methodology allows for non-destructive scanning and quantification of web characteristics. By analysing the entropy of silk density distributions, a single scalar that captures the heterogeneity of material investment across the entire web, we observed that the entropy values follow a normal distribution with a mean of 1.24

Indexed as

entropyharmonicityLinyphiidaespider web

Identifiers

PMID41035508
PMCPMC12483633

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.