Evidence map›Paper›PMID 30958196›Full record

ArticleJournal of the Royal Society, Interface2019

Social information and spontaneous emergence of leaders in human groups.

Shinnosuke Nakayama, Elizabeth Krasner, Lorenzo Zino, Maurizio Porfiri

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2019. 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. Article
  2. Article
  3. Article
  4. Leader-follower consensus on activity-driven networks.Proceedings. Mathematical, physical, and engineering sciences · 2020
    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

4 authors.

Shinnosuke Nakayama1 Department of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering , 6 MetroTech Center, Brooklyn, 11201 New York, NY , USA.
Elizabeth Krasner1 Department of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering , 6 MetroTech Center, Brooklyn, 11201 New York, NY , USA.
Lorenzo Zino1 Department of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering , 6 MetroTech Center, Brooklyn, 11201 New York, NY , USA.
Maurizio Porfiri1 Department of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering , 6 MetroTech Center, Brooklyn, 11201 New York, NY , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the dynamics of social networks is the objective of interdisciplinary research ranging from animal collective behaviour to epidemiology, political science and marketing. Social influence is key to comprehending emergent group behaviour, but we know little about how inter-individual relationships emerge in the first place. We conducted an experiment where participants repeatedly performed a cognitive test in a small group. In each round, they were allowed to change their answers upon seeing the current answers of other members and their past performance in selecting correct answers. Rather than following a simple majority rule, participants granularly processed the performance of others in deciding how to change their answers. Toward a network model of the experiment, we associated a directed link of a time-varying network with every change in a participant's answer that mirrored the answer of another group member. The rate of growth of the network was not constant in time, whereby links were found to emerge faster as time progressed. Further, repeated interactions reinforced relationships between individuals' performance and their network centrality. Our results provide empirical evidence that inter-individual relationships spontaneously emerge in an adaptive way, where good performers rise as group leaders over time.

Indexed as

Biobehavioral SciencesDecision MakingInterpersonal RelationsLeadershipSocial BehaviorSocial NetworkingAdultFemaleHumansMalecollective behaviourdynamic networksleadershipnetwork evolutionopinion formation

Identifiers

PMID30958196
PMCPMC6408354

What OpenQuestion holds

Textmetadata
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.