Online Social Media Content Delivery

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. Front Matter ....Pages i-xi Introduction (Zhi Wang, Wenwu Zhu, Shiqiang Yang)....Pages 1-6 Joint Content- and Social-Based User Preference Mining (Zhi Wang, Wenwu Zhu, Shiqiang Yang)....Pages 7-32 Enhancing Multimedia Network Resource Allocation Using Social Prediction (Zhi Wang, Wenwu Zhu, Shiqiang Yang)....Pages 33-55 Propagation-Based Social Video Content Replication (Zhi Wang, Wenwu Zhu, Shiqiang Yang)....Pages 57-83 Joint Online Processing and Geo-Distributed Delivery for Dynamic Social Streaming (Zhi Wang, Wenwu Zhu, Shiqiang Yang)....Pages 85-105 Concluding Remarks (Zhi Wang, Wenwu Zhu, Shiqiang Yang)....Pages 107-108 Back Matter ....Pages 109-109