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Towards a Set Theoretical Approach to Big Data Analytics

Publication: Research - peer-reviewPaper

Formal methods, models and tools for social big data analytics are largely limited to graph theoretical approaches such as social network analysis (SNA) informed by relational sociology. There are no other unified modeling approaches to social big data that integrate the conceptual, formal and software realms. In this paper, we first present and discuss a theory and conceptual model of social data. Second, we outline a formal model based on set theory and discuss the semantics of the formal model with a real-world social data example from Facebook. Third, we briefly present and discuss the Social Data Analytics Tool (SODATO) that realizes the conceptual model in software and provisions social data analysis based on the conceptual and formal models. Fourth and last, based on the formal model and sentiment analysis of text, we present a method for profiling of artifacts and actors and apply this technique to the data analysis of big social data collected from Facebook page of the fast fashion company, H&M.

Publication information

Original languageEnglish
Publication date2014
Number of pages8
StatePublished - 2014
Event - Anchorage, United States

Conference

Conference3rd IEEE International Congress on Big Data
Number3
CountryUnited States
CityAnchorage
Period27/06/201402/07/2014
Internet address

ID: 40988214