BSDAM 2016 - Big Social Data Analysis Methods and Tools Workshop

Social Networks (SNs) such as Twitter, Facebook MySpace, Bebo, Weblogs and Wikis offer users the ability to instantly share information. The analysis of this information pose a number of challenges given the volume, velocity and variety of the data produced. At same time, plenty of opportunities of early detection of events through the use of SNs Data. SNs are typically loosely moderated by service operators, with the majority of moderation that occurs being a reaction to offensive or inappropriate content being reported by other users. With the number of prosecutions for crimes on SNs rising each year; it is almost impossible to effectively discover instances of crime or criminal behaviour manually; therefore law enforcements have a major challenge to respond efficiently in cases involve SNs use. At the same time SMEs don’t have capacity or the expertise to monitor and analyse activities of their interest on SNs such as informal customer’s feedback.
Topics of interest
Social Networks Text / Data Mining
Social networks architecture and growth
Social networks visualization
Geographical aspects of social networks
Social networks data analysis tools
Trends and Opinion mining from social networks
Community formation, analysis and detection in Social networks
Graphical visualization and analysis of social networks
Natural language processing based applications on social networks