ArticleNature communications2021
Topological measures for identifying and predicting the spread of complex contagions.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- Multiplexing in networks and diffusion.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Measuring thresholds for individual change can improve social change interventions.Nature human behaviour · 2026Article
- Integrating behavioural experimental findings into dynamical models to inform social change interventions.Nature human behaviour · 2026Article
- A simple threshold captures the social learning of conventions.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Identifying influential assets in higher order interdependent infrastructure networks through population impact.Scientific reports · 2025Article
- Diffusion of complex contagions is shaped by a trade-off between reach and reinforcement.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Unveiling the social fabric through a temporal, nation-scale social network and its characteristics.Scientific reports · 2025Article
- Heterogeneous update processes shape information cascades in social networks.Scientific reports · 2025Article
- Emotion regulation contagion drives reduction in negative intergroup emotions.Nature communications · 2025Article
- Collective dynamics behind success.Nature communications · 2024Review
- Distribution of centrality measures on undirected random networks via the cavity method.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Long ties accelerate noisy threshold-based contagions.Nature human behaviour · 2024Article
- Long ties across networks accelerate the spread of social contagions.Nature human behaviour · 2024Article
- Transformation starts at the periphery of networks where pushback is less.Scientific reports · 2024Article
- Induction of social contagion for diverse outcomes in structured experiments in isolated villages.Science (New York, N.Y.) · 2024Article
- Assortative mixing of opinions about COVID-19 vaccination in personal networks.Scientific reports · 2024Article
- DomiRank Centrality reveals structural fragility of complex networks via node dominance.Nature communications · 2024Article
- Threshold Cascade Dynamics in Coevolving Networks.Entropy (Basel, Switzerland) · 2023Article
- Political polarization of news media and influencers on Twitter in the 2016 and 2020 US presidential elections.Nature human behaviour · 2023Article
- Multistability, intermittency, and hybrid transitions in social contagion models on hypergraphs.Nature communications · 2023Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The standard measure of distance in social networks - average shortest path length - assumes a model of "simple" contagion, in which people only need exposure to influence from one peer to adopt the contagion. However, many social phenomena are "complex" contagions, for which people need exposure to multiple peers before they adopt. Here, we show that the classical measure of path length fails to define network connectedness and node centrality for complex contagions. Centrality measures and seeding strategies based on the classical definition of path length frequently misidentify the network features that are most effective for spreading complex contagions. To address these issues, we derive measures of complex path length and complex centrality, which significantly improve the capacity to identify the network structures and central individuals best suited for spreading complex contagions. We validate our theory using empirical data on the spread of a microfinance program in 43 rural Indian villages.
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.