The road to democracy: modeling and analysis of an election big data

Summary form only given. The complete presentation was not made available for publication as part of the conference proceedings. Various organizations, such as those active in business or in politics, capture, store, and analyze data gathered from heterogeneous, distributed, and sometimes autonomous information sources including social media, classical and Web databases, multimedia files, localization raw data, etc. Big data is a term used to describe such kind of data having high volume, velocity, and variety features. It involves innovative technologies, such as pervasive and cloud computing ones, used to enhance decision making, provide vision, discovery, and backing to improve business processes and actions on the ground. The latent value of big data analytics is prodigious and clearly recognized by a rising number of studies such as topics related to politics. The tutorial will focus, in general, on big data and related analytics rising topics, and, in particular, on big data studies performed in the modern democracy era. Modeling and analysis approaches will be discussed, and various cases of election big data, including experiences performed in old democracies such in the United States, Canada, and the new ones such in Tunisia, will be presented.