SCSD 2019 - Social Computing and Semantic Data Mining Symposium (SCSD)

Social Computing and Semantic Data Mining Symposium will focus on the topics related to all aspects of
the intersection of social behavior, computational systems, and semantic data mining. Of special interests
in social computing are papers reporting on novel and practical solutions to social networks, mobile social
sensing, service quality, trust, online auctions, modeling and analysis, reputation systems, computational
social choice, tagging, game and so on. Of special interest in semantic data mining are papers reporting in
large-scale and real-world semantic applications, methodology of semantic representation and large-scale
data mining, machine learning, information retrieval, artificial intelligence in social contexts and so on.
To ensure complete coverage of the advances in this broad area, the Social Computing and Semantic Data
Mining Symposium solicits original contributions in, but not limited to, the following topical areas:
● Social Networks
● Social Media Analytics and Intelligent Social Media
● Social Service Science, Quality, Architecture
● Trust and Privacy in Social Contexts
● Social Networks/Media/Service System Design and Architectures
● Semantic Web Techniques
● Mobile Social Sensing
● Social Intelligence
● Social Behavior Modeling and Analysis
● Social Behavior Synthesis
● Opinion Representation, and Influence Process Modeling
● Reality Mining
● Real-world semantic applications
● Big Data Analytics and Storage
● Statistical Data Mining
● Data Mining, Machine Learning, Information Retrieval, Artificial Intelligence in Social Contexts
● Social signal Processing System Design and Architectures