Towards a Set Theoretical Approach to Big Data Analytics

Raghava Rao Mukkamala; Abid Hussain; Ravi Vatrapu

Towards a Set Theoretical Approach to Big Data Analytics

Raghava Rao Mukkamala, Abid Hussain, Ravi Vatrapu

IT-Universitetet i København

Publikation: Konferencebidrag › Paper › Forskning › peer review

Abstract

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.

Originalsprog	Engelsk
Publikationsdato	2014
Antal sider	8
Status	Udgivet - 2014
Begivenhed	3rd IEEE International Congress on Big Data: BigData Congress 2014 - Anchorage, USA Varighed: 27 jun. 2014 → 2 jul. 2014 Konferencens nummer: 3 http://www.ieeebigdata.org/2014/index.html

Konference

Konference	3rd IEEE International Congress on Big Data
Nummer	3
Land/Område	USA
By	Anchorage
Periode	27/06/2014 → 02/07/2014
Internetadresse	http://www.ieeebigdata.org/2014/index.html

Emneord

Formal Methods
Social Data Analytics
Computational Social Science
Data Science
Big Social Data

Adgang til dokumentet

http://www.itu.dk/people/rao/pubs_accepted/2014_IEEE-BigData-socialdata-set-theory.pdf

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Persistent link

Citationsformater

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title = "Towards a Set Theoretical Approach to Big Data Analytics",

abstract = "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.",

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TY - CONF

T1 - Towards a Set Theoretical Approach to Big Data Analytics

AU - Mukkamala, Raghava Rao

AU - Hussain, Abid

AU - Vatrapu, Ravi

N1 - Conference code: 3

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Formal Methods

KW - Social Data Analytics

KW - Computational Social Science

KW - Data Science

KW - Big Social Data

M3 - Paper

T2 - 3rd IEEE International Congress on Big Data

Y2 - 27 June 2014 through 2 July 2014

ER -