Prediction and Inference from Social Networks and Social Media

Häftad, Engelska, 2018

AvJalal Kawash,Nitin Agarwal,Tansel Özyer,Tansel Ozyer

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This book addresses the challenges of social network and social media analysis in terms of prediction and inference. These include generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, and behavior detection.

Produktinformation

Utgivningsdatum2018-07-18
Mått155 x 235 x 13 mm
Vikt365 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Social Networks
Antal sidor225
FörlagSpringer International Publishing AG
ISBN9783319845531

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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.