Extraction and Analysis of Dynamic Conversational Networks from TV Series Xavier Bost, Vincent Labatut, Serigne Gueye, Georges Linarès To cite this version: Xavier Bost, Vincent Labatut, Serigne Gueye, Georges Linarès. Extraction and Analysis of Dynamic Conversational Networks from TV Series. Mehmet Kaya; Jalal Kawash; Suheil Khoury; Min-Yuh Day. Social Network Based Big Data Analysis and Applications, Springer, pp.55-84, 2018, Lecture Notes in Social Networks, 978-3-319-78195-2. 10.1007/978-3-319-78196-9_3. hal-01543938v3 HAL Id: hal-01543938 https://hal.archives-ouvertes.fr/hal-01543938v3 Submitted on 24 Jan 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution - NonCommercial - ShareAlike| 4.0 International License Extraction and Analysis of Dynamic Conversational Networks from TV Series Xavier Bost, Vincent Labatut, Serigne Gueye & Georges Linar`es Laboratoire Informatique d'Avignon { LIA EA 4128, Universit´ed'Avignon, France
[email protected] January 24, 2020 Abstract Identifying and characterizing the dynamics of modern tv series subplots is an open problem. One way is to study the underlying social network of interactions between the characters. Standard dynamic network extraction methods rely on temporal integration, either over the whole considered period, or as a sequence of several time-slices.