Modeling Conflict. Representations of Social Groups in Present-Day Dutch Literary Fiction.doi:10.7910/DVN/JCHI1KHarvard Dataverse2021-06-041Smeets, Roel, 2021, "Modeling Conflict. Representations of Social Groups in Present-Day Dutch Literary Fiction.", https://doi.org/10.7910/DVN/JCHI1K, Harvard Dataverse, V1, UNF:6:4wMaoJSDvCyJs9cRm06pXQ== [fileUNF]Modeling Conflict. Representations of Social Groups in Present-Day Dutch Literary Fiction.doi:10.7910/DVN/JCHI1KSmeets, RoelHarvard DataverseSmeets, RoelSmeets, Roel2021-03-29Arts and HumanitiesObject-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.<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>BOOKS_complete.tab1708text/tab-separated-valuesUNF:6:nP68eDZnxxjI6VbSbI86Eg==EDGES_complete.tab87754text/tab-separated-valuesUNF:6:iRfSft3mvo4AX3T+Q/cuJw==NODES_complete.tab21371text/tab-separated-valuesUNF:6:Cv9kjry32AgWlnl5gAMN/A==book_id49.21889880929885.0.085.5170.0170.085.51.0UNF:6:OBo2AblBuqPBvpNdR/HJCA==titleUNF:6:+qGIokZkxDXNnMw4d/9btw==name_authorUNF:6:P1SmULnRtMgZBw7A+LTz2w==gender_authorUNF:6:BoVIQHS9VJw5MQkJXkbGFQ==age_authorUNF:6:XUWNWus5640xhnk41oQvHg==publisherUNF:6:AhbmtSjWcAf5e1+644nMkQ==perspective1.77058823529411760.03.02.0170.01.00.7617052699069164.UNF:6:Y2OeSx3j0nhiRS5OF1xdFA==filenameUNF:6:ijZ0X3cP6wDzsQvuDde9Xg==book_id8775.0.170.00.01.0100.095.6651851851905448.738354578131236UNF:6:G6rN8qqtyJYv4Yp01625kg==source5.7369892182101157.065754985754907.1.06.029.00.08775.0UNF:6:RZEBrO6oR4cUemCvxF1CEw==target0.06.05.71042650750092629.01.08775.07.036809116809002.UNF:6:pm9IK15JLkkMzfeVr93shg==relation_typeUNF:6:WSlhx3BuEYyK3gbga6piMQ==book_id;character_id;name;gender;descent_country;descent_city;living_country;living_city;age;education;professionUNF:6:Cv9kjry32AgWlnl5gAMN/A==characternetworks.pytext/x-python-scriptcharacter-rankings_conflictscore.csvtext/csvcharacter-rankings.csvtext/csvconflict.pytext/x-python-scriptNAMES_complete.csvtext/csvSuperscript.pytext/x-python-script