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Mining Lurkers in Online Social Networks
Principles, Models, and Computational Methods

Authors: Tagarelli, Andrea, Interdonato, Roberto. 

Un ouvrage édité par un membre de Tetis
 

First book to discuss the lurking behavior phenomenon in online social networks under both social science and computational perspectives.
It provides detailed descriptions of computational approaches that enable understanding and mining of lurking behaviors, including centrality and ranking, influence propagation and maximization for user engagement, cross-platform analysis methods, and evolutionary games.
It paves the way for next-generation models and techniques that can cope with a large, previously unexplored set of related problems and applications in social science, network science, and other information science related fields.
 

liens ext https://www.springer.com/us/book/9783030002282#