Online Social Media Content Delivery
A Data-Driven Approach
Series: SpringerBriefs in Computer Science;
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Product details:
- Edition number 1st ed. 2018
- Publisher Springer Nature Singapore
- Date of Publication 11 August 2018
- Number of Volumes 1 pieces, Book
- ISBN 9789811027734
- Binding Paperback
- No. of pages109 pages
- Size 235x155 mm
- Weight 454 g
- Language English
- Illustrations XI, 109 p. 64 illus. Illustrations, black & white 0
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Long description:
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.
Table of Contents:
Introduction.- Social Media Big Data.- Social Propagation and Social Popularity.- Social Media Content Delivery.- Conclusion and Future Research Directions.
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