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Using Shakespeare to Answer Psychological Questions: Complexity and Mental Representability of Character Networksuse asterix (*) to get italics
Christian M. Thurn; Simone Sebben; Zoran KovacevicPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"
2024
<p>Theater plays are a cultural product that can be used to learn about the capacity of human cognition. We argue that Kolmogorov complexity may be suited to operationalize the demand that is put onto a<br>recipient's cognitive system to represent the character system of a play with sufficient detail and accuracy<br>to follow the narrative. We analyze Shakespeare’s plays and European Drama by means of network<br>analysis in four studies: In Study 1, we use Shakespeare's plays to estimate an approximate limit of<br>complexity of character networks that humans can mentally represent. In Study 2, we investigate where<br>the approximated limit lies in relation to the overall distribution of complexity in European plays. In<br>Study 3, we focus on how complexity and the total number of speaking characters in the plays relate in<br>European theater plays. In Study 4, we analyze the robustness of network complexity across researcher<br>degrees of freedom using Shakespeare’s plays. We show how research on social networks can be<br>conducted in a reproducible, transparent way, especially when relying on cultural products such as literary works.</p>
You should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://
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network analysis; Shakespeare; Social Brain Hypothesis; European Drama; Kolmogorov complexity; Cognitive Capacity
NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).
Humanities, Social sciences
No need for them to be recommenders of PCI Registered Reports. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct
e.g. John Doe [john@doe.com]
2023-06-16 12:40:14
Veli-Matti Karhulahti