Online Social Media Content Delivery : A Data-Driven Approach / / by Zhi Wang, Wenwu Zhu, Shiqiang Yang

• Autore: Wang Zhi
• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
• Edizione: 1st ed. 2018.
• Descrizione fisica: 1 online resource (XI, 109 p. 64 illus.)
• Disciplina: 005.7
• Soggetto topico: Application software; Artificial intelligence; Information Systems Applications (incl. Internet); Artificial Intelligence; Computer Appl. in Social and Behavioral Sciences
• Persona (resp. second.): ZhuWenwu; YangShiqiang
• Nota di contenuto: Introduction -- Social Media Big Data -- Social Propagation and Social Popularity -- Social Media Content Delivery -- Conclusion and Future Research Directions.
• Sommario/riassunto: This book explains how to use a data-driven approach to design strategies for social media content delivery. It first introduces readers to how social information can be effectively gathered for big data analysis, which provides content delivery intelligence. Secondly, the book describes data-driven models to capture information diffusion in online social networks and social media content propagation and popularity, before presenting prediction models for social media content delivery. By addressing the resource allocation and content replication aspects of social media content delivery, the book presents the latest data-driven strategies. In closing, it outlines a number of potential research directions regarding social media content delivery.
• Titolo autorizzato: Online Social Media Content Delivery
• ISBN: 981-10-2774-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910299161203321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Computer Science, . 2191-5768