Online Social Media Content Delivery

A Data-Driven Approach

  • Zhi Wang
  • Wenwu Zhu
  • Shiqiang Yang

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Zhi Wang, Wenwu Zhu, Shiqiang Yang
    Pages 1-6
  3. Zhi Wang, Wenwu Zhu, Shiqiang Yang
    Pages 7-32
  4. Zhi Wang, Wenwu Zhu, Shiqiang Yang
    Pages 33-55
  5. Zhi Wang, Wenwu Zhu, Shiqiang Yang
    Pages 57-83
  6. Zhi Wang, Wenwu Zhu, Shiqiang Yang
    Pages 107-108
  7. Back Matter
    Pages 109-109

About this book


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.


Content Delivery Network Big Data Edge Network Social Media Online Social Network Social Media Content Delivery Social Networks Social Propagation

Authors and affiliations

  • Zhi Wang
    • 1
  • Wenwu Zhu
    • 2
  • Shiqiang Yang
    • 3
  1. 1.Graduate School at ShenzhenTsinghua UniversityShenzhenChina
  2. 2.Department of Computer ScienceTsinghua UniversityBeijingChina
  3. 3.Department of Computer ScienceTsinghua UniversityBeijingChina

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-10-2773-4
  • Online ISBN 978-981-10-2774-1
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site
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