Relevant topics include (but are not limited to):
– Foundations of Learning and Mining in social-media-driven complex networks
– Centrality and Ranking in social-media-driven complex networks
– Community Detection in social-media-driven complex networks
– Link Prediction in social-media-driven complex networks
– Simplification/pruning/sampling of social-media-driven complex networks
– User Behavior Modeling in social-media-driven complex networks
– Influence propagation in social-media-driven complex networks
– Reputation and Trust computing in social-media-driven complex networks
– Embedding and Deep Learning in social-media-driven complex networks
– Probabilistic and Uncertain social-media-driven complex networks
– Time-evolving social-media-driven complex networks
– Hypergraph-based modeling, analysis and learning problems
– Cross-Domain problems in social-media-driven complex networks
– Visualization of social-media-driven complex networks
– Personalization and Recommendation in social-media-driven complex networks
– Mobility in social-media-driven complex networks
– Vertex similarity in multiplex and social-media-driven complex networks
– Multiplex and social-media-driven complex networks evolution models
– Multiplex network and dynamic network mining
– Ensemble learning for social-media-driven complex networks mining
– Pattern mining in social-media-driven complex networks
