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Business-Oriented Analytics With Social Network of Things

Business-Oriented Analytics With Social Network of Things

Pawan Kumar, Adwitiya Sinha
ISBN13: 9781522581826|ISBN10: 1522581820|EISBN13: 9781522581833
DOI: 10.4018/978-1-5225-8182-6.ch026
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MLA

Kumar, Pawan, and Adwitiya Sinha. "Business-Oriented Analytics With Social Network of Things." Social Entrepreneurship: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 524-545. https://doi.org/10.4018/978-1-5225-8182-6.ch026

APA

Kumar, P. & Sinha, A. (2019). Business-Oriented Analytics With Social Network of Things. In I. Management Association (Ed.), Social Entrepreneurship: Concepts, Methodologies, Tools, and Applications (pp. 524-545). IGI Global. https://doi.org/10.4018/978-1-5225-8182-6.ch026

Chicago

Kumar, Pawan, and Adwitiya Sinha. "Business-Oriented Analytics With Social Network of Things." In Social Entrepreneurship: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 524-545. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8182-6.ch026

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Abstract

In the modern era of technological advancements, internet of things (IoT) and social network of things (SNoT) have gained vitality with the extensive application of sensors for accumulation of socially relevant data. A colossal amount of social data collected becomes unfeasible to process and deliver with progress in time and domain. Therefore, a major problem lies in analysis, interpretation, and understanding of the huge amount of social data. This challenge has been greatly leveraged by context-aware computing, which permits storing context information so that meaningful analysis of data can be achieved. Also, the importance of context-aware social networking and network diffusion is elaborated with the aim to develop effective solutions to issues in this domain. The main concept here is people around a person share common experiences with that person, which in turn can be made interactive, thereby leading to collective and quick resolving of problems. Social network of things is closely coupled with context awareness to make interpretation of big data easier and compatible to recent trends.

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