Neurocomputing

Elsevier Neurocomputing

Social Media Analytics and Learning

This special issue seeks contributions reporting novel solutions, models, theories, or systems regarding social media analytics and learning. Topics of interest include but not limited to:

• Understanding social content and dynamics
• Efficient learning algorithms for scalable social media analytics
• Social network modeling
• Machine learning and data mining for social media
• User interests and behavior modeling in social media
• Tagging, semantic annotation, object and event recognition on large-scale social media collections
• Indexing, ranking, and retrieval on large-scale social media collections
• Benchmark dataset construction for analytics and learning on social media
• Open-source software libraries for analytics and learning on social media