%0 Conference Paper %1 karnstedt2013scalable %A Karnstedt, Marcel %A Hayes, Conor %A Alani, Harith %A Fernandez, Miriam %D 2013 %K robust-project %T Scalable Analytics to Enable Risk Management in Online Communities %X With the constantly growing ecosphere of online communities, their managers and operators require a rich set of tools to successfully understand, control and exploit them. According risk management requires to extract reusable, interpretable analytics in real time from the streams of dynamically, socially produced data. In this talk, we summarise our efforts on producing a suite of novel, highly scalable methods and tools to enable this, aligned along four non-disjoint dimensions: structural analysis, behavioural analysis, content/social-semantic analysis, and cross-community analysis.

@inproceedings{karnstedt2013scalable, abstract = {With the constantly growing ecosphere of online communities, their managers and operators require a rich set of tools to successfully understand, control and exploit them. According risk management requires to extract reusable, interpretable analytics in real time from the streams of dynamically, socially produced data. In this talk, we summarise our efforts on producing a suite of novel, highly scalable methods and tools to enable this, aligned along four non-disjoint dimensions: structural analysis, behavioural analysis, content/social-semantic analysis, and cross-community analysis.}, added-at = {2013-05-28T13:16:50.000+0200}, author = {Karnstedt, Marcel and Hayes, Conor and Alani, Harith and Fernandez, Miriam}, biburl = {https://www.bibsonomy.org/bibtex/21e34a39d0ff4d6ba242a7020d68b9f4a/markar}, interhash = {dd79e1340ae71cd59a9f503b35eb28d6}, intrahash = {1e34a39d0ff4d6ba242a7020d68b9f4a}, keywords = {robust-project}, timestamp = {2013-05-28T13:16:51.000+0200}, title = {Scalable Analytics to Enable Risk Management in Online Communities}, year = 2013 }