Information society is constantly fueling data of whatever sort, from social network to geo-localized records: their magnitude is posing new questions over the way such data have to be analyzed and interpreted. In this paper, we focus on a new mathematical approach arising from the conceptual core of statistical mechanics, which has recently proved well in offering valuable insights for large data analysis. After having examined this new mathematical perspective, we provide a case-study centered on data regarding immigrant integration in Italy.
New mathematical perspectives to understand the Information Society: The statistical mechanics approach to model and analyze big-data / De Pretis, Francesco. - (2016), pp. 3-10. (Intervento presentato al convegno International Conference of Young Scientists and Specialists “Information Society as Contemporary System of Defense and Attack” tenutosi a Baku, Azerbaijan nel November 27-28, 2014).
New mathematical perspectives to understand the Information Society: The statistical mechanics approach to model and analyze big-data
Francesco De Pretis
2016
Abstract
Information society is constantly fueling data of whatever sort, from social network to geo-localized records: their magnitude is posing new questions over the way such data have to be analyzed and interpreted. In this paper, we focus on a new mathematical approach arising from the conceptual core of statistical mechanics, which has recently proved well in offering valuable insights for large data analysis. After having examined this new mathematical perspective, we provide a case-study centered on data regarding immigrant integration in Italy.
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