Replication Data for: Modeling Conflict. Representations of Social Groups in Present-Day Dutch Literary Fiction.

10.7910/DVN/JSKPQVSmeets, RoelRoelSmeetsRadboud University NijmegenReplication Data for: Modeling Conflict. Representations of Social Groups in Present-Day Dutch Literary Fiction.Harvard Dataverse2021Arts and Humanitiessocial network analysisDutch literatureSmeets, RoelRoelSmeetsRadboud University Nijmegen2021-06-072021-06-091681672537846872660771072116753683407884986338text/tab-separated-valuestext/x-python-scripttext/csvtext/csvtext/x-python-scripttext/tab-separated-valuestext/csvtext/tab-separated-valuestext/x-python-script1.0CC0 1.0Object-Oriented model written in Python, with three main classes: Character, Book, Network. Four interlinked databases: BOOKS_complete.csv contains all info on 170 contemporary Dutch novels NODES_complete.csv contains all demographic info on 2137 characters in those novels NAMES_complete.csv contains all name variants of those characters EDGES_complete.csv contains all relational info between those characters Python scripts: characternetworks.py contains the three classes Character, Book, and Network Superscript.py computes character networks, ranks all characters, and output the results to character-rankings.csv conflict.py models enemy/friend relations between characters on two levels: enemy/friend triads: tests Heider's social balance theory based on enemies and friends in the corpus enemy dyads: computes hierarchies between every two enemies based on a 'conflictscore' (one for each measure) Csv output: - character-rankings.csv (output of write_to_csv() in Superscript.py) - character-rankings_conflictscore.csv (output of conflict.py) The text-files of the 170 novels from 2012 cannot be shared due to copyright.