ArticleEntropy (Basel, Switzerland)2020
Complex Contagion Features without Social Reinforcement in a Model of Social Information Flow.
Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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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.
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Who cites it
6 citing papers in PubMed.
- Homophily and gender differences in unhealthy weight control behaviors among adolescents: a longitudinal school-based friendship network study.BMC public health · 2025Article
- Carrier Transport in Colloidal Quantum Dot Intermediate Band Solar Cell Materials Using Network Science.International journal of molecular sciences · 2023Article
- Organic Disordered Semiconductors as Networks Embedded in Space and Energy.Nanomaterials (Basel, Switzerland) · 2022Article
- Approaching Disordered Quantum Dot Systems by Complex Networks with Spatial and Physical-Based Constraints.Nanomaterials (Basel, Switzerland) · 2021Article
- Computation in Complex Networks.Entropy (Basel, Switzerland) · 2021Article
- Modeling Quantum Dot Systems as Random Geometric Graphs with Probability Amplitude-Based Weighted Links.Nanomaterials (Basel, Switzerland) · 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
5 authors.
Funding
Abstract
Contagion models are a primary lens through which we understand the spread of information over social networks. However, simple contagion models cannot reproduce the complex features observed in real-world data, leading to research on more complicated complex contagion models. A noted feature of complex contagion is social reinforcement that individuals require multiple exposures to information before they begin to spread it themselves. Here we show that the quoter model, a model of the social flow of written information over a network, displays features of complex contagion, including the weakness of long ties and that increased density inhibits rather than promotes information flow. Interestingly, the quoter model exhibits these features despite having no explicit social reinforcement mechanism, unlike complex contagion models. Our results highlight the need to complement contagion models with an information-theoretic view of information spreading to better understand how network properties affect information flow and what are the most necessary ingredients when modeling social behavior.
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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.