Central emotions and hubs in a colexification network.

Mitsuki Fukuya, Tomoko Matsumoto, Yutaka Shimada, Tohru Ikeguchi

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. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mitsuki FukuyaDepartment of Information and Computer Technology, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, 125-8585, Tokyo, Japan. fukuya@hisenkei.net.

Tomoko Matsumoto *Institute of Arts and Sciences, Tokyo University of Science, 1-3 Kagurazaka, Shinjuku-ku, 162-8601, Tokyo, Japan.

Yutaka Shimada *Department of Information and Computer Sciences, Saitama University, 255 Shimo-okubo Sakura-ku, Saitama-shi, 338-8570, Saitama, Japan.

Tohru Ikeguchi *Department of Information and Computer Technology, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, 125-8585, Tokyo, Japan.

Funding

Japan Society for the Promotion of Science JP21H03514Japan Society for the Promotion of Science,Japan JP21H04391Japan Society of Physiological Anthropology JP22K18419

6 · The paper itself

Abstract

By focusing on colexification, we detected central emotions sharing semantic commonalities with many other emotions in terms of a semantic relationship of both similarity and associativity. In analysis, we created colexification networks from multiple languages by assigning a concept to a vertex and colexification to an edge. We identify concepts of emotions with a large weight in the colexification network and specify central emotions by finding hub emotions. Our resultant central emotions are four: "GOOD," "WANT," "BAD," and "LOVE."

Identifiers

PMID38071399

DOI10.1038/s41598-023-48922-8

PMCPMC10710517

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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.