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SpringerBriefs in Computer Science

SpringerBriefs in Computer Science: A Data-Driven Approach

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SpringerBriefs in Computer Science: A Data-Driven Approach

Wang, Zhi; Zhu, Wenwu; Yang, Shiqiang

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.

Details

Published by: Springer

Publication Date: 2018-08-11

Format: Paperback

ISBN-13: 9789811027734

DOI: 10.1007/978-981-10-2774-1

Dimensions: 235cm x155cm

Pages: 109

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