Machine Learning Techniques for Online Social Networks

Chapter 1 Acceleration of Functional Cluster Extraction and Analysis of Cluster Affinity

Chapter 2 δ -Hyperbolicity and the Core-Periphery Structure in Graphs

Chapter 3 A Framework for OSN Performance Evaluation Studies

Chapter 4 On the Problem of Multi-Staged Impression Allocation in Online Social Networks

Chapter 5 Order-of-Magnitude Popularity Estimation of Pirated Content

Chapter 6 Learning What to Share in Online Social Networks Using Deep Reinforcement Learning

Chapter 7 Centrality and Community Scoring Functions in Incomplete Networks: Their Sensitivity, Robustness, and Reliability

Chapter 8 Ameliorating Search Results Recommendation System Based on K -Means Clustering Algorithm and Distance Measurements

Chapter 9 Dynamics of Large-Scale Networks Following a Merger

Chapter 11 Text-Based Analysis of Emotion by Considering Tweets