Titlebook: Complex Networks and Their Applications XI; Proceedings of The E Hocine Cherifi,Rosario Nunzio Mantegna,Salvatore M Conference proceedings

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Individual Fairness for Social Media Influencers (a) the exposure of users to CCs (decided by, e.g., a recommender system), and (b) the following decision-making process of users. Recent research studies underlined the importance of content quality by showing that under exploratory recommendation strategies, the network eventually converges to a

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Classical and Quantum Random Walks to Identify Leaders in Criminal Networkspart of classical random walks in quantum mechanics are the quantum walks. Quantum walk algorithms provide an exponential speedup over classical algorithms. Classical and quantum random walks can be applied in social network analysis, and can be used to define specific centrality metrics in terms of

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Random Walk for Generalization in Goal-Directed Human Navigation on Wikipedian change during the navigation from the start to the destination. However, it is not fully clear to what extent the navigation is defined by the human navigator or the graph and the environment. Our work examines the early phase of human navigation, where we investigate the impact of the graph struc

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Norbert Gestring,Renate Ruhne,Jan Wehrheimstigate how the media ecosystem might influence the spread of beliefs (such as beliefs around COVID-19 vaccination). We perform some initial simulations to see how parameters modeling audience fragmentation, selective exposure, and responsiveness of media agents to the beliefs of their subscribers i

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Nachbarschaft und Gemeinschaft,a group, to more polarized and extreme positions. Recent literature mainly focuses on characterizing such entities via static observations, thus disregarding their temporal dimension. In this work, distancing from such a trend, we study, at multiple topological levels, echo chambers genesis related

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Stadt - Landschaft - Hybriditätd tend to study a single platform. We explore the possibility of using knowledge graph embeddings to detect and analyze partisanship in online discourse. Knowledge graphs can potentially combine linguistic and network information across multiple platforms to enable more accurate discovery of a polit