Observational studyNature communications2021
Collective patterns of social diffusion are shaped by individual inertia and trend-seeking.
Observational study in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Consistently refusing to go along both helps and hinders minorities to induce social tipping.Scientific reports · 2026Article
- Inertia mechanisms in networks and knowledge diffusion in team inertia networks.Scientific reports · 2025Article
- Mobilising climate action with moral appeals in a smartphone-based 8-week field experiment.npj climate action · 2025Article
- Creating a healthy and sustainable food environment to promote plant-based food consumption: clear barriers and a gradual transition.BMC public health · 2024Article
- Article
- Quantifying leadership in climate negotiations: A social power game.PNAS nexus · 2023Article
- Humans strategically avoid connecting to others who agree and avert the emergence of network polarization in a coordination task.Scientific reports · 2023Article
- Link updating strategies influence consensus decisions as a function of the direction of communication.Royal Society open science · 2023Article
- Rethinking academia in a time of climate crisis.eLife · 2023Article
- Article
- Understanding the coevolution of mask wearing and epidemics: A network perspective.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Diffusion and convection in nature.The European physical journal. E, Soft matter · 2021Article
- Collective patterns of social diffusion are shaped by individual inertia and trend-seeking.Nature communications · 2021Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social conventions change when individuals collectively adopt an alternative over the status quo, in a process known as social diffusion. Our repeated trials of a multi-round experiment provided data that helped motivate the proposal of an agent-based model of social diffusion that incorporates inertia and trend-seeking, two behavioural mechanisms that are well documented in the social psychology literature. The former causes people to stick with their current decision, the latter creates sensitivity to population-level changes. We show that such inclusion resolves the contradictions of existing models, allowing to reproduce patterns of social diffusion which are consistent with our data and existing empirical observations at both the individual and population level. The model reveals how the emergent population-level diffusion pattern is critically shaped by the two individual-level mechanisms; trend-seeking guarantees the diffusion is explosive after the diffusion process takes off, but inertia can greatly delay the time to take-off.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.