Information Propagation in Psychological Networks
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Entropy and Biology".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 3099
Special Issue Editor
Special Issue Information
Dear Colleagues,
Networks can be seen everywhere. In the context of psychology, networks were originally used to understand and study information propagation in acquaintances’ social networks. Network and graph analysis have also been used to study information propagation and functional connectivity in the brain to understand cognitive processes. Additionally, network analysis has been proposed as a methodology to understand and research psychological disorders and psychopathological processes.
Information propagation in psychological networks is a key phenomenon to understand psychological dynamics. From a psychopathological point of view, for example, understanding the information propagation from one symptom to another can help to treat efficiently psychological disorders. When developing networks of connectivity in the brain, based on cognitive tasks’ performance, it is crucial to identify the mechanisms generating patterns of information propagation to understand the neural substrates of cognitive processes. Finally, although social network analysis has a long history in social psychology, digital social networks pose qualitatively and quantitatively newer research questions. For example, news (especially fake news) propagation is currently being considered as a critical factor threatening health or human wellbeing.
This Special Issue aims at compiling multidisciplinary papers on information propagation in psychological networks. Brief, clear, accurate, concise, and deeply theoretically sound papers are expected. Empirical, observational, or theoretical papers are welcomed. When proposing statistical or modeling tools to study information propagation in psychological networks, source code (preferably written in open programming languages and hosted in public repositories) is welcomed. In the same vein, when reporting observational or experimental studies, raw data, and source code to reproduce results is also welcomed to be archived in public repositories.
Dr. Jorge López Puga
Guest Editor
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Keywords
- Psychological networks
- Psychopathology
- Social networks
- Brain connectivity
- Cognitive processes
- Psychological development
- Network dynamics
- Statistical models
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