Ziegler, JohnGertz, MichaelKönig-Ries, BirgittaScherzinger, StefanieLehner, WolfgangVossen, Gottfried2023-02-232023-02-232023978-3-88579-725-8https://dl.gi.de/handle/20.500.12116/40321The focus of social media is characterized by stories about short-lived breaking news. Often, such mayflies make it hard to keep track of more profound topics that are prevalent over a longer period of time. To tackle this issue we present a method to detect such long-term trends based on temporal networks and community evolution. Connecting those methods with that of trend analysis allows to study the temporal development of trends"enSocial Media AnalyticsTemporal NetworksTrend AnalysisTwitter DataText/Conference Paper10.18420/BTW2023-17