Prediction and Inference from Social Networks and Social Media

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kawash, Jalal (Editor), Agarwal, Nitin (Editor), Özyer, Tansel (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Lecture Notes in Social Networks,
• Subjects: Computer science.; Data mining.; User interfaces (Computer systems).; Computers and civilization.; Computer Science.; Data Mining and Knowledge Discovery.; Applications of Graph Theory and Complex Networks.; Computers and Society.; User Interfaces and Human Computer Interaction.

This book addresses the challenges of social network and social media analysis in terms of prediction and inference. The chapters collected here tackle these issues by proposing new analysis methods and by examining mining methods for the vast amount of social content produced. Social Networks (SNs)...

Table of Contents:

• Chapter1. Having Fun?: Personalized Activity-based Mood Prediction in Social Media
• Chapter2. Automatic Medical Image Multilingual Indexation through a Medical Social Network
• Chapter3. The Significant Effect of Overlapping Community Structures in Signed Social Networks
• Chapter4. Extracting Relations Between Symptoms by Age-Frame Based Link Prediction
• Chapter5. Link Prediction by Network Analysis
• Chapter6. Structure-Based Features for Predicting the Quality of Articles in Wikipedia
• Chapter7. Predicting Collective Action from Micro-Blog Data
• Chapter8. Discovery of Structural and Temporal Patterns in MOOC Discussion Forums
• Chapter9. Diffusion Process in a Multi-Dimension Networks: Generating, Modelling and Simulation.