Trial reportHealth education & behavior : the official publication of the Society for Public Health Education2020
Diffusion/Contagion Processes on Social Networks.
Trial report in Health education & behavior : the official publication of the Society for Public Health Education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled 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.
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
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.
- Differential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters.BMC public health · 2021Pooled it
- Implementing a primary-tertiary shared care model for enhancing cascade testing for familial hypercholesterolaemia: an effectiveness-implementation hybrid type III pre-post study.Implementation science communications · 2026Article
- Integrating behavioural experimental findings into dynamical models to inform social change interventions.Nature human behaviour · 2026Article
- The Impact of Social Norms on Diffusion Dynamics: A Simulation of E-Cigarette Use Behavior.Health education & behavior : the official publication of the Society for Public Health Education · 2025Article
- Article
- Test-to-PrEP: An Egocentric Approach to Promoting HIV Discussions and Resource Sharing in PrEP Clients' Social Networks.AIDS and behavior · 2025Article
- Article
- Considerations for Social Networks and Health Data Sharing: An Overview.Annals of epidemiology · 2025Review
- Tunable network properties with Hamill and Gilbert's Social Circles generator.Applied network science · 2025Article
- Distinguishing mechanisms of social contagion from local network view.Npj complexity · 2025Article
- Associations between structural holes in personal networks and health behaviors among young and middle-aged adults in Japan: a population-based cross-sectional study.Frontiers in public health · 2025Article
- Article
- Algorithms for seeding social networks can enhance the adoption of a public health intervention in urban India.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- A comparison of peer change agent selection methods: Evidence from a high-school based suicide preventive intervention.BMC public health · 2022Article
- Diffusion of Innovations-Informed Knowledge Translation Strategy to Implement Optimal Safe Nursing Workforce Policy in Practice.Florence Nightingale journal of nursing · 2022Article
- Towards explainable community finding.Applied network science · 2022Article
- Influence of physician networks on prescribing a new ingredient combination in heart failure: a longitudinal claim data-based study.Implementation science : IS · 2021Article
- Comparing targeting strategies for network-based adolescent drinking interventions: A simulation approach.Social science & medicine (1982) · 2021Article
- The role of age in the spreading of COVID-19 across a social network in Bucharest.Journal of complex networks · 2021Article
- Participation in the Cardiovascular Health Awareness Program (CHAP) by older adults residing in social housing in Quebec: Social network analysis.BMC health services research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
This study models how new ideas, practices, or diseases spread within and between communities, the diffusion of innovations or contagion. Several factors affect diffusion such as the characteristics of the initial adopters, the seeds; the structure of the network over which diffusion occurs; and the shape of the threshold distribution, which is the proportion of prior adopting peers needed for the focal individual to adopt. In this study, seven seeding conditions are modeled: (1) three opinion leadership indicators, (2) two bridging measures, (3) marginally positioned seeds, and (4) randomly selected seeds for comparison. Three network structures are modeled: (1) random, (2) small-world, and (3) scale-free. Four threshold distributions are modeled: (1) normal; (2) uniform; (3) beta 7,14; and (4) beta 1,2; all of which have a mean threshold of 33%, with different variances. The results show that seeding with nodes high on in-degree centrality and/or inverse constraint has faster and more widespread diffusion. Random networks had faster and higher prevalence of diffusion than scale-free ones, but not different from small-world ones. Compared with the normal threshold distribution, the uniform one had faster diffusion and the beta 7,14 distribution had slower diffusion. Most significantly, the threshold distribution standard deviation was associated with rate and prevalence such that higher threshold standard deviations accelerated diffusion and increased prevalence. These results underscore factors that health educators and public health advocates should consider when developing interventions or trying to understand the potential for behavior change.
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.