Evidence map›Paper›PMID 34526559›Full record

ArticleScientific reports2021

Spontaneous emergence of leadership patterns drives synchronization in complex human networks.

Carmela Calabrese, Maria Lombardi, Erik Bollt, Pietro De Lellis, Benoît G Bardy, Mario di Bernardo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 20 citations in OpenAlex.

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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

6 authors at 5 institutions in 3 countries.

Carmela CalabreseDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, 80125, Italy.
Maria LombardiCenter for Robotics and Intelligent Systems (CRIS), Italian Institute of Technology (IIT), Genoa, 16163, Italy.
Erik BolltElectrical and Computer Engineering ECE Department and the Clarkson Center for Complex Systems, Clarkson University, Potsdam, NY, 13699-5815, USA.
Pietro De Lellis *Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, 80125, Italy.
Benoît G Bardy *EuroMov Digital Health in Motion, University of Montpellier IMT Mines Ales, Montpellier, 34090, France. benoit.bardy@umontpellier.fr.
Mario di Bernardo *Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, 80125, Italy. mario.dibernardo@unina.it.
University of Naples Federico II · ITClarkson University · USIMT Mines Alès · FRItalian Institute of Technology · ITUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synchronization of human networks is fundamental in many aspects of human endeavour. Recently, much research effort has been spent on analyzing how motor coordination emerges in human groups (from rocking chairs to violin players) and how it is affected by coupling structure and strength. Here we uncover the spontaneous emergence of leadership (based on physical signaling during group interaction) as a crucial factor steering the occurrence of synchronization in complex human networks where individuals perform a joint motor task. In two experiments engaging participants in an arm movement synchronization task, in the physical world as well as in the digital world, we found that specific patterns of leadership emerged and increased synchronization performance. Precisely, three patterns were found, involving a subtle interaction between phase of the motion and amount of influence. Such patterns were independent of the presence or absence of physical interaction, and persisted across manipulated spatial configurations. Our results shed light on the mechanisms that drive coordination and leadership in human groups, and are consequential for the design of interactions with artificial agents, avatars or robots, where social roles can be determinant for a successful interaction.

Identifiers

PMID34526559
PMCPMC8443630
OpenAlexW3199910459

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.