239 ISSN 2519-058Х (Print), ISSN 2664-2735 (Online) Central Figures and Events of Ukrainian History in the Light of Content Analysis of Ukrainian... UDC 94(477)(092):004.738.5-028.23:94 DOI 10.24919/2519-058X.28.287545 Wiktor WERNER Doctor of Habilitation, Professor of the Department of History, Adam Mickiewicz University in Poznan, 1 Veniavskogo Street, Poznan, Poland, postal code 61-712 (werner@amu.edu.pl) ORCID: 0000-0002-3004-6021 Researcher ID: IUF-6535-2023 Liudmyla VOVCHUK PhD (History), Associate Professor of the Department of International Relations and Foreign Policy, Petro Mohyla Black Sea National University, 10 68 Desantnykiv Street, Mykolaiv, Ukraine, postal code 54003 (luda_vovchuk@ukr.net) ORCID: 0000-0002-8324-5235 Researcher ID: AAC-2128-2020 Scopus-Author ID: 57215693025 Віктор ВЕРНЕР доктор габілітований, професор кафедри історії Університету Адама Міцкевича в Познані, вул. Венявського, 1, м. Познань, Польща, індекс 61-712 (werner@amu.edu.pl) Людмила ВОВЧУК кандидатка історичних наук, доцентка кафедри міжнародних відносин та зовнішньої політики Чорноморського національного університету імені Петра Могили, вул. 68 Десантників, 10, м. Миколаїв, Україна, індекс 54003 (luda_vovchuk@ukr.net) Bibliographic Description of the Article: Werner, W. & Vovchuk, L. (2023). Central Figures and Events of Ukrainian History in the Light of Content Analysis of Ukrainian Historical YouTube Channels from 2014 to 2022. Skhidnoievropeiskyi istorychnyi visnyk [East European Historical Bulletin], 28, 239–252. doi: 10.24919/2519-058X.28.287545 CENTRAL FIGURES AND EVENTS OF UKRAINIAN HISTORY IN THE LIGHT OF CONTENT ANALYSIS OF THE UKRAINIAN HISTORICAL YOUTUBE CHANNELS FROM 2014 TO 2022 Abstract. The purpose of the research is to identify historical heroes and events that are top among the Ukrainians from 2014 to 2022, based on the processing of historical videos posted on the leading Ukrainian historical YouTube channels. The methodology of the research is based on a complex approach, which implies the use of special computer methods that have not been used in this way before. The methods related to complex network analysis (CNA) have been used, with the help of which a relational database containing information about the most popular characters, events and topics in the Ukrainian historical YouTube videos was depicted in the form of a graph, and the most significant characters and motifs were found out by measuring centrality (as graph vertices). The Louvain Community Detection and Clauset_Newman_Moore algorithms have been used to extract links between topics and the context of their creation (date). The scientific novelty consists in the fact of finding out the renowned historical heroes among the users of Ukrainian historical YouTube channels owing to the use of innovative computer