Towards a Set Theoretical Approach to Big Data Analytics

Raghava Rao Mukkamala · Abid Hussain · Ravi Vatrapu

26 citations0/0 files storedIEEE International Congress on Big Data (BigData Congress)

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Big Data Technologies and Applications Computational and Text Analysis Methods Information Retrieval and Data Mining

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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References

2005Reassembling the Social 1997Manifesto for a Relational Sociology 2001Fuzzy-Set Social Science 2010Predicting the Future with Social Media 2002Reputation and social network analysis in multi-agent systems 2012Manifesto of computational social science 2006Fuzzy Set Theory 2010Off the wall political discourse: Facebook use in the 2008 U.S. presidential election

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2016A Set Theoretical Approach to Maturity Models: Guidelines and Demonstration 2015Social Set Analysis of Corporate Social Media Crises on Facebook 2016Crowdfunding in the Development of Social Media Fanbase -- Case Study of Two Competing Ecosystems 2015Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis

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