ArticleScientific reports2022
Echo chambers and information transmission biases in homophilic and heterophilic networks.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Intersectional inequalities in social ties.Science advances · 2025Article
- Charting multidimensional ideological polarization across demographic groups in the USA.Nature human behaviour · 2025Article
- Adaptive mechanisms of social and asocial learning in immersive collective foraging.Nature communications · 2025Article
- Unveiling the drivers of active participation in social media discourse.Scientific reports · 2025Article
- Exposing the obscured influence of state-controlled media via causal inference of quotation propagation.Scientific reports · 2025Article
- Distinguishing mechanisms of social contagion from local network view.Npj complexity · 2025Article
- Vaccination homophily in ego contact networks during the COVID-19 pandemic.Scientific reports · 2024Article
- Threshold Cascade Dynamics in Coevolving Networks.Entropy (Basel, Switzerland) · 2023Article
- Behavioral Propagation Based on Passionate Psychology on Single Networks with Limited Contact.Entropy (Basel, Switzerland) · 2023Article
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Authors and funding
3 authors.
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Abstract
We study how information transmission biases arise by the interplay between the structural properties of the network and the dynamics of the information in synthetic scale-free homophilic/heterophilic networks. We provide simple mathematical tools to quantify these biases. Both Simple and Complex Contagion models are insufficient to predict significant biases. In contrast, a Hybrid Contagion model-in which both Simple and Complex Contagion occur-gives rise to three different homophily-dependent biases: emissivity and receptivity biases, and echo chambers. Simulations in an empirical network with high homophily confirm our findings. Our results shed light on the mechanisms that cause inequalities in the visibility of information sources, reduced access to information, and lack of communication among distinct groups.
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