A GENERAL TAXONOMY FOR VISUALIZATION OF PREDICTIVE SOCIAL MEDIA ANALYTICS BY DR. STACEY FRANKLIN JONES
The use of Social Media as a resource to characterize historical and current occurrences to reasonably predict future events is rapidly emerging. Effective visualization of Predictive Social Media Analytics (PSMA) data lends to meaningful and relevant translation, efficient interpretation and ease in use of results. A general taxonomy for the measurement of these attributes enable comparison of visualization techniques and export features for a broad range of applications and respective complexity.
The full paper will be published in the 2012 World Congress in Computer Science, Computer Engineering, and Applied Computing - Modeling, Simulation and Visualization proceedings and will be available for indexing including: Inspec / IET / The Institute for Engineering and Technology, CiteSeerX citation index, Google Scholar, Microsoft Academic Search, and other science databases.