ArticleFrontiers in psychology2020
A Temporal Network Approach to Paranoia: A Pilot Study.
Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Treatment-associated network dynamics in patients with globus sensations: a proof-of-concept study.Scientific reports · 2023Trial
- Article
- Introducing openESM: A database of openly available experience sampling datasets.Behavior research methods · 2026Article
- A temporal network analysis of complex post-traumatic stress disorder and psychosis symptoms.Psychological medicine · 2025Article
- "Rejection Makes Me Suspicious": Complex Temporal Network Approach to the Dynamics of Real-Time Paranoid Thoughts and Psychological Vulnerability.Schizophrenia bulletin open · 2025Article
- Social identification and paranoia.Royal Society open science · 2024Article
- Relations among symptoms of depression over time in at-risk youth.Journal of psychopathology and clinical science · 2023Article
- Changes of intuition in paranoid personality disorder.Frontiers in psychiatry · 2023Review
- Using language in social media posts to study the network dynamics of depression longitudinally.Nature communications · 2022Article
- Excessive Worrying as a Central Feature of Anxiety during the First COVID-19 Lockdown-Phase in Belgium: Insights from a Network Approach.Psychologica Belgica · 2021Article
- Mental Health Profiles in a Sample of Moroccan High School Students: Comparison Before and During the COVID-19 Pandemic.Frontiers in psychiatry · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Paranoid beliefs have been conceptualized as a central psychological process linked to schizophrenia and many mental disorders. Research on paranoia has indicated that it is pivotal to consider not only levels but also dynamic aspects of incriminated related mechanisms over time. In the present study, we conceptualized paranoia as a system of interacting elements. To do so, we used temporal network analysis to unfold the temporal dynamics between core psychological paranoia-related mechanisms, such as self-esteem, sadness, feeling close to others, and experiential avoidance. Time-series data of 23 participants with high scores in paranoia and/or interpersonal sensitivity were collected
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