Evidence map›Paper›PMID 38001327›Full record

ArticleScientific reports2023

Reconstructing signed relations from interaction data.

Georges Andres, Giona Casiraghi, Giacomo Vaccario, Frank Schweitzer

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Inferring signed social networks from contact patterns.Journal of physics. Complexity · 2026
    Article
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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

4 authors.

Georges AndresETH Zürich, Chair of Systems Design, Weinbergstrasse 56/58, Zürich, Switzerland.
Giona CasiraghiETH Zürich, Chair of Systems Design, Weinbergstrasse 56/58, Zürich, Switzerland.
Giacomo VaccarioETH Zürich, Chair of Systems Design, Weinbergstrasse 56/58, Zürich, Switzerland.
Frank SchweitzerETH Zürich, Chair of Systems Design, Weinbergstrasse 56/58, Zürich, Switzerland. fschweitzer@ethz.ch.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 105213L_192746
6 · The paper itself

Abstract

Positive and negative relations play an essential role in human behavior and shape the communities we live in. Despite their importance, data about signed relations is rare and commonly gathered through surveys. Interaction data is more abundant, for instance, in the form of proximity or communication data. So far, though, it could not be utilized to detect signed relations. In this paper, we show how the underlying signed relations can be extracted with such data. Employing a statistical network approach, we construct networks of signed relations in five communities. We then show that these relations correspond to the ones reported by the individuals themselves. Additionally, using inferred relations, we study the homophily of individuals with respect to gender, religious beliefs, and financial backgrounds. Finally, we study group cohesion in the analyzed communities by evaluating triad statistics in the reconstructed signed network.

Identifiers

PMID38001327
PMCPMC10673950

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.