4th IJCAI Workshop on Heterogeneous Information Network Analysis (HINA 2016)
July 9-11, 2016.
USA
Call For Papers
In recent years, interest in heterogeneous information network analysis (HINA) have led to advances in information propagation models, community detection, analysis of citation and collaboration networks, and recommender systems. Three previous workshops on HINA have focused on the convergence of methodologies for network modeling, incorporating representation of heterogeneity (especially author-item-author and author-item-venue-item-author networks), path analysis, frequent subgraph mining, and using learning and inference in graphical models of probability to capture important aspects of heterogeneous information networks.
Topics
• Models of information propagation across domains and social media
• Progressing beyond APA and APVPA models of citation networks
• Social sentiment analysis and topic models in HINA
• Community detection and formation modeling
• Path-based similarity measures and relationship extraction
• Applications to modeling of weblogs, social media, social networks, and the semantic web
• Trust networks, information sharing, and limitations of existing models
• Learning to rank in HINA
• Modeling of link types and relationship strength
IMPORTANT DATES
Paper submission: April 22, 2016
Notification of acceptance: May 20, 2016
Final manuscripts due:May 30, 2016