Online Social Media Content Delivery A Data-Driven Approach
Titre:
Online Social Media Content Delivery A Data-Driven Approach
ISBN (Numéro international normalisé des livres):
9789811027741
Auteur personnel:
Edition:
1st ed. 2018.
PRODUCTION_INFO:
Singapore : Springer Nature Singapore : Imprint: Springer, 2018.
Description physique:
XI, 109 p. 64 illus. online resource.
Collections:
SpringerBriefs in Computer Science,
Table des matières:
Introduction -- Social Media Big Data -- Social Propagation and Social Popularity -- Social Media Content Delivery -- Conclusion and Future Research Directions.
Extrait:
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.
Auteur collectif ajouté:
Accès électronique:
Full Text Available From Springer Nature Computer Science 2018 Packages
Langue:
Anglais