Business-Oriented Analytics With Social Network of Things

Business-Oriented Analytics With Social Network of Things

Pawan Kumar, Adwitiya Sinha
Copyright: © 2019 |Pages: 22
DOI: 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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1. Introduction

Social media and networking provides a platform for sharing content, opinions and views for interaction and building influential communities. The chapter is organized into four sub-sections to deal with several research oriented challenges and recent trends. The chapter would begin with a complete systematically introduction of fundamental concepts of social networking, business applications & analytics, social network of things. This is followed by explanation of tools, statistics and services of social networking with business perspective. In next section various categories of context is discussed along with their individual relevance. The basic definitions of context and context-enabled features are detailed. Later characteristics of context aware systems would be considered with deeper insight of context aware systems which further will lead to various usages of such systems in various fields.

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