Evidence map›Paper›PMID 34676088›Full record

ArticleNational science review2021

Efficient network immunization under limited knowledge.

Yangyang Liu, Hillel Sanhedrai, GaoGao Dong, Louis M Shekhtman, Fan Wang, Sergey V Buldyrev, Shlomo Havlin

Abstract read
In one paragraph

Article in National science review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  11. Optimal resilience of modular interacting networks.Proceedings of the National Academy of Sciences of the United States of America · 2021
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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

7 authors.

Yangyang LiuDepartment of Systems Science, National University of Defense Technology, Changsha 410073, China.
Hillel SanhedraiDepartment of Physics, Bar-Ilan University, Ramat Gan 5290002, Israel.
GaoGao DongFaculty of Science, Jiangsu University, Zhenjiang 212013, China.
Louis M ShekhtmanDepartment of Physics, Bar-Ilan University, Ramat Gan 5290002, Israel.
Fan WangDepartment of Physics, Bar-Ilan University, Ramat Gan 5290002, Israel.
Sergey V BuldyrevDepartment of Physics, Yeshiva University, New York, NY 10033, USA.
Shlomo HavlinDepartment of Physics, Bar-Ilan University, Ramat Gan 5290002, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted immunization of centralized nodes in large-scale networks has attracted significant attention. However, in real-world scenarios, knowledge and observations of the network may be limited, thereby precluding a full assessment of the optimal nodes to immunize (or quarantine) in order to avoid epidemic spreading such as that of the current coronavirus disease (COVID-19) epidemic. Here, we study a novel immunization strategy where only

Indexed as

complex networkscritical phenomenanetwork immunizationpercolation

Identifiers

PMID34676088
PMCPMC7499760

What OpenQuestion holds

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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.