000210573 001__ 210573
000210573 005__ 20180317095023.0
000210573 037__ $$aCONF
000210573 245__ $$aCharacter network analysis of Émile Zola’s Les Rougon-Macquart
000210573 269__ $$a2015
000210573 260__ $$c2015
000210573 336__ $$aConference Papers
000210573 520__ $$aIn this work, we use network analysis methods to sketch a typology of fiction novels based on characters and their proximity in the narration. We construct character networks modelling the twenty novels composing Les Rougon-Macquart, written by Émile Zola. To categorise them, we rely on methods that track down major and minor characters relative to the character-systems. For that matter, we use centrality measures such as degree and eigenvector centrality. Eventually, with this analysis of a small corpus, we open the stage for a large-scale analysis of novels through their character networks.
000210573 6531_ $$anetwork analysis
000210573 6531_ $$acharacter network analysis
000210573 6531_ $$adigital humanities
000210573 700__ $$0248846$$aRochat, Yannick$$g147407
000210573 7112_ $$aDigital Humanities 2015$$cSydney$$dJune 29 - July 3, 2015
000210573 8564_ $$uhttp://dh2015.org/$$zURL
000210573 8564_ $$s5347152$$uhttps://infoscience.epfl.ch/record/210573/files/DH%202015.pdf$$ySlides$$zSlides
000210573 8564_ $$s1233794$$uhttps://infoscience.epfl.ch/record/210573/files/dh2015_infoscience.pdf$$yPostprint$$zPostprint
000210573 909CO $$ooai:infoscience.tind.io:210573$$pCDH$$pconf
000210573 909C0 $$0252465$$pDHLAB$$xU12632
000210573 917Z8 $$x147407
000210573 917Z8 $$x147407
000210573 937__ $$aEPFL-CONF-210573
000210573 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000210573 980__ $$aCONF