Social Computing Research with Apache Spark Predicting Online Community Churners using Gaussian Sequences Transferring Semantic Categories with Vertex Kernels: Recommendations with SemanticSVD++ SemanticSVD++: Incorporating Semantic Taste Evolution for Predicting Ratings The Semantic Evolution of Online Communities From Mining to Understanding: The Evolution of Social Web Users Mining User Lifecycles from Online Community Platforms and their Application to Churn Prediction From User Needs to Community Health: Mining User Behaviour to Analyse Online Communities Changing with Time: Modelling and Detecting User Lifecycle Periods in Online Community Platforms Identity: Physical, Cyber, Future Measuring the Topical Specificity of Online Communities Who will follow whom? Exploiting Semantics for Link Prediction in Attention-Information Networks Attention Economics in Social Web Systems What makes communities tick? Community health analysis using role compositions Existing Research and Future Research Agenda 
