Towards a Set Theoretical Approach to Big Data Analytics

Raghava Rao Mukkamala, Abid Hussain, Ravi Vatrapu

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

Abstrakt

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.
OriginalsprogEngelsk
TitelBig Data (BigData Congress), 2014 IEEE International Congress on
ForlagIEEE
Publikationsdato27 jun. 2014
Sider629-636
ISBN (Trykt)978-1-4799-5056-0
DOI
StatusUdgivet - 27 jun. 2014
Begivenhed2014 IEEE International Congress on Big Data - Anchorage, Alaska, USA
Varighed: 27 jun. 20142 jul. 2014
Konferencens nummer: 3
http://www.ieeebigdata.org/2014/

Konference

Konference2014 IEEE International Congress on Big Data
Nummer3
Land/OmrådeUSA
ByAnchorage, Alaska
Periode27/06/201402/07/2014
Internetadresse

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