Abstract
This essay responds to a lack of scholarly attention for conflict as a narrative mechanism since the formalist models of Vladimir Propp and Algirdas Julien Greimas. Building on recent developments within cultural analytics, the essay argues for a new understanding of narrative conflict by integrating classic narratological models with data-driven, statistical methods. It does so by (a) proposing two computational models of conflict based on theoretical insights from narratology, conflict studies, and network theory, (b) applying those models to a sample corpus of 170 present-day Dutch novels, and (c) briefly illustrating the narratological value of the results by interpreting the representation of social groups in two novels from the corpus – Bart Koubaa’s De Brooklynclub (2012) and Leon de Winter’s VSV (2012) – in light of the statistical patterns found for the corpus as a whole. The analyses of dyadic (two characters) and triadic (three characters) conflict leads to two central conclusions: 1) lower educated characters are more dominant in dyadic conflicts and 2) the majority of triadic conflicts exist in a state of social balance.
Highlights
‘Can you name a single great work of art which is not about conflict?’ Yuval Noah Harari, Sapiens
Our research is situated within the broader methodological framework of computational literary criticism, distant reading, and cultural analytics, and in particular within the epistemological shift from measurement to modeling as recently proposed by Ted Underwood.[4]
Hypothesizing that conflict has a similar function in narrative fiction, we examine the ways in which conflicts are co-constitutive of the literary representation of of characters
Summary
Modeling Conflict: Representations of Social Groups in Present-Day Dutch Literature Roel Smeets, Maarten De Pourcq, Radboud University Nijmegen Antal van den Bosch, University of Amsterdam Peer-Reviewer: Rachel Buurma, Hoyt Long Data Repository: 10.7910/DVN/JSKPQV
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