Intro; Preface; Acknowledgements; Contents; 1 Introduction; 1.1 Background; 1.2 Research Challenges; 1.3 Organization and Contributions; References; 2 Joint Content- and Social-Based User Preference Mining; 2.1 Introduction; 2.2 Related Work; 2.2.1 Online Social Networks; 2.2.2 Social Recommendations; 2.2.3 Video Recommendation in the Context of Online Social Networks; 2.3 Framework; 2.3.1 Recommendation for Importing and Re-Sharing; 2.3.2 Recommendation Input: Matrices from Social Networks and Content Networks; 2.3.3 Framework of Our Recommendation

2.4 User-Content Matrix Update Based on Social Propagation and Content Similarity2.4.1 Selecting the Entries to Update; 2.4.2 Updating the Missing Entries; 2.5 User-Content Space Construction and the Recommendation; 2.5.1 Construction of the Joint User-Content Space; 2.5.2 Recommendation Based on the User-Content Space; 2.6 Experimental Results; 2.6.1 Experiment Setup; 2.6.2 Algorithm Verification; 2.6.3 Performance Evaluation; 2.7 Discussion; 2.7.1 Efficiency of the Recommendation Algorithms; 2.7.2 Extension of the Matrix; References

3 Enhancing Multimedia Network Resource Allocation Using Social Prediction3.1 Introduction; 3.2 Related Work; 3.3 Measurements and Analysis; 3.3.1 Collection of Traces; 3.3.2 View Number Predictability; 3.3.3 Geographic Distribution Predictability; 3.3.4 Impact of Measures at Different Time Lags; 3.4 Neural Network for View Prediction; 3.4.1 Using Neural Networks for Prediction Models; 3.4.2 Constructing Input Features; 3.4.3 Samples for Training and Evaluation; 3.4.4 Training Neural Networks; 3.4.5 Evaluating the Predication Accuracy; 3.5 Enhanced Video Service Deployment

3.5.1 Deployment Scheme and Objective3.5.2 Regional Upload Bandwidth Reservation; 3.5.3 Video Replication; 3.6 Evaluating the Video Service Performance; 3.6.1 Setup of Trace-Driven PlanetLab Experiments; 3.6.2 Experimental Results; References; 4 Propagation-Based Social Video Content Replication; 4.1 Introduction; 4.2 Related Work; 4.2.1 Propagation in Online Social Networks; 4.2.2 Social Content Replication; 4.3 Measurement of Social Content Propagation; 4.3.1 Framework; 4.3.2 Measurement Setup; 4.3.3 A Glance at the Generation, Distribution and Popularity of Social Content

4.4 Replication Architecture Based on Propagation Patterns4.4.1 Social Propagation Patterns; 4.4.2 Edge-Cloud and Peer-Assisted Replication Architecture; 4.5 Replication Strategies Based on Propagation Prediction; 4.5.1 Propagation Prediction; 4.5.2 Replication Strategies Based on Propagation Prediction; 4.6 Performance Evaluation; 4.6.1 Experiment Setup; 4.6.2 Efficiency of Edge-Cloud Replication; 4.6.3 Efficiency of Peer-Assisted Replication; 4.7 Discussion; References; 5 Joint Online Processing and Geo-Distributed Delivery for Dynamic Social Streaming; 5.1 Introduction; 5.2 Related Work