ArticleScientific reports2018
Quantifying the propagation of distress and mental disorders in social networks.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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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Who cites it
9 citing papers in PubMed, 36 citations in OpenAlex.
- An online game spread model combining key nodes in scale-free networks.Scientific reports · 2025Article
- Quantifying suicide contagion at population scale.Science advances · 2024Article
- Dynamics and control of delayed rumor propagation through social networks.Journal of applied mathematics & computing · 2022Article
- Using awareness to Z-control a SEIR model with overexposure: Insights on Covid-19 pandemic.Chaos, solitons, and fractals · 2021Article
- Suicide Risk Assessment Using Machine Learning and Social Networks: a Scoping Review.Journal of medical systems · 2020Article
- The Dynamical Interplay of Collective Attention, Awareness and Epidemics Spreading in the Multiplex Social Networks During COVID-19.IEEE access : practical innovations, open solutions · 2020Article
- Distress, Suicidality, and Affective Disorders at the Time of Social Networks.Current psychiatry reports · 2019Review
- Social Network Analysis and Resilience in University Students: An Approach from Cohesiveness.International journal of environmental research and public health · 2018Article
- Social Determinants of Mental Health: Where We Are and Where We Need to Go.Current psychiatry reports · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heterogeneity of human beings leads to think and react differently to social phenomena. Awareness and homophily drive people to weigh interactions in social multiplex networks, influencing a potential contagion effect. To quantify the impact of heterogeneity on spreading dynamics, we propose a model of coevolution of social contagion and awareness, through the introduction of statistical estimators, in a weighted multiplex network. Multiplexity of networked individuals may trigger propagation enough to produce effects among vulnerable subjects experiencing distress, mental disorder, which represent some of the strongest predictors of suicidal behaviours. The exposure to suicide is emotionally harmful, since talking about it may give support or inadvertently promote it. To disclose the complex effect of the overlapping awareness on suicidal ideation spreading among disordered people, we also introduce a data-driven approach by integrating different types of data. Our modelling approach unveils the relationship between distress and mental disorders propagation and suicidal ideation spreading, shedding light on the role of awareness in a social network for suicide prevention. The proposed model is able to quantify the impact of overlapping awareness on suicidal ideation spreading and our findings demonstrate that it plays a dual role on contagion, either reinforcing or delaying the contagion outbreak.
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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.