scholarly journals Beyond the Internet of Things: The Social Networking of Machines

2016 ◽  
Vol 12 (6) ◽  
pp. 8178417 ◽  
Author(s):  
Marina Pticek ◽  
Vedran Podobnik ◽  
Gordan Jezic
Keyword(s):  
Internet Of Things ◽  
Social Networking ◽  
The Internet ◽  
The Social ◽  
The Internet Of Things

scholarly journals Building Topic-Driven Virtual IoTs in a Multiple IoTs Scenario

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2956 ◽  
Author(s):  
Paolo Lo Giudice ◽  
Antonino Nocera ◽  
Domenico Ursino ◽  
Luca Virgili
Keyword(s):  
Social Networks ◽  
Internet Of Things ◽  
Social Networking ◽  
Virtual Communities ◽  
The Internet ◽  
The Real ◽  
Challenging Issue ◽  
The One ◽  
The Internet Of Things ◽  
Made In

In the last years, several attempts to combine the Internet of Things (IoT) and social networking have been made. In the meantime, things involved in IoT are becoming increasingly sophisticated and intelligent, showing a behavior that tends to look like the one of users in social networks. Therefore, it is not out of place to talk about profiles of things and about information and topics exchanged among them. In such a context, constructing topic-driven virtual communities starting from the real ones operating in a Multi-IoT scenario is an extremely challenging issue. This paper aims at providing some contributions in this setting. First of all, it presents the concept of profile of a thing. Then, it introduces the concept of topic-guided virtual IoT. Finally, it illustrates two approaches (one supervised and one unsupervised) to constructing topic-guided virtual IoTs in a Multi-IoT scenario.

scholarly journals Concept, Possibilities and Pilot-Testing of a New Smartphone Application for the Social and Life Sciences to Study Human Behavior Including Validation Data from Personality Psychology

J ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 102-115 ◽  
Author(s):  
Christian Montag ◽  
Harald Baumeister ◽  
Christopher Kannen ◽  
Rayna Sariyska ◽  
Eva-Maria Meßner ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Human Behavior ◽  
Real Life ◽  
Smartphone Application ◽  
Self Report ◽  
The Internet ◽  
Validation Data ◽  
Personality Psychology ◽  
The Social ◽  
The Internet Of Things

With the advent of the World Wide Web, the smartphone and the Internet of Things, not only society but also the sciences are rapidly changing. In particular, the social sciences can profit from these digital developments, because now scientists have the power to study real-life human behavior via smartphones and other devices connected to the Internet of Things on a large-scale level. Although this sounds easy, scientists often face the problem that no practicable solution exists to participate in such a new scientific movement, due to a lack of an interdisciplinary network. If so, the development time of a new product, such as a smartphone application to get insights into human behavior takes an enormous amount of time and resources. Given this problem, the present work presents an easy way to use a smartphone application, which can be applied by social scientists to study a large range of scientific questions. The application provides measurements of variables via tracking smartphone–use patterns, such as call behavior, application use (e.g., social media), GPS and many others. In addition, the presented Android-based smartphone application, called Insights, can also be used to administer self-report questionnaires for conducting experience sampling and to search for co-variations between smartphone usage/smartphone data and self-report data. Of importance, the present work gives a detailed overview on how to conduct a study using an application such as Insights, starting from designing the study, installing the application to analyzing the data. In the present work, server requirements and privacy issues are also discussed. Furthermore, first validation data from personality psychology are presented. Such validation data are important in establishing trust in the applied technology to track behavior. In sum, the aim of the present work is (i) to provide interested scientists a short overview on how to conduct a study with smartphone app tracking technology, (ii) to present the features of the designed smartphone application and (iii) to demonstrate its validity with a proof of concept study, hence correlating smartphone usage with personality measures.

scholarly journals Inequalities in the social use of the Internet of things: A capital and skills perspective

2019 ◽  
Vol 21 (6) ◽  
pp. 1344-1361 ◽  
Author(s):  
Alex van der Zeeuw ◽  
Alexander JAM van Deursen ◽  
Giedo Jansen
Keyword(s):  
Internet Of Things ◽  
Social Relations ◽  
The Internet ◽  
Internet Skills ◽  
The Social ◽  
Use Of The Internet ◽  
Social Use ◽  
Smart Things ◽  
Social Uses ◽  
The Internet Of Things

In this article, we set out to explain different types of social uses of the Internet of Things (IoT) using forms of capital and Internet skills. We argue that the IoT platform entices different manners of social communication that are easily overlooked when focusing on the novelty of smart “things.” How people use the IoT socially is crucial in trying to understand how people create, maintain, or absolve social relations in a networked society. We find inversed effects for social capital, income and education on private use, and on sharing IoT data with a partner. Sharing with acquaintances and strangers is predicted by cultural activities. Sharing IoT data with acquaintances can especially be attributed to social relations that escape the immediate household. We conclude that varying figurations of capital and Internet skills predict how the IoT is used socially.

scholarly journals How the Internet of Things Changes Everything

2020 ◽  
Vol 2 (4) ◽  
pp. 12
Author(s):  
Kate Carruthers
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Social Web ◽  
Privacy And Security ◽  
Digital Revolution ◽  
Potential Value ◽  
The Social ◽  
The Internet Of Things ◽  
Insight Into ◽  
Convergence Of Technologies

In many ways the Internet of Things will change everything, as devices and software mesh and become part of the connected fabric of the Internet. This article explores the context and potential offered by the growth of the Internet of Things (IoT). It provides an overview of this next phase of the digital revolution that is underpinned by the growth of the social web, web 2.0, and the convergence of technologies such as mobile and ubiquitous broadband. This article also attempts to provide some insight into the potential value of the Internet of Things market in the future. The opportunities offered by the Internet of Things also raise serious questions about privacy and security in a connected world. As Umair Haque noted recently: “At some point, we should all question the value of an internet that objectifies you, tracks you, and polices you...without your consent.” (Haque 2014)

The Internet of Things

2020 ◽  
Author(s):  
Scott J. Shackelford
Keyword(s):  
Internet Of Things ◽  
Smart Devices ◽  
Stock Exchanges ◽  
The Internet ◽  
Internet Of Everything ◽  
The Social ◽  
Challenges And Opportunities ◽  
Perverse Incentives ◽  
And Control ◽  
The Internet Of Things

The Internet of Things (IoT) is the notion that nearly everything we use, from gym shorts to streetlights, will soon be connected to the Internet; the Internet of Everything (IoE) encompasses not just objects, but the social connections, data, and processes that the IoT makes possible. Industry and financial analysts have predicted that the number of Internet-enabled devices will increase from 11 billion to upwards of 75 billion by 2020. Regardless of the number, the end result looks to be a mind-boggling explosion in Internet connected stuff. Yet, there has been relatively little attention paid to how we should go about regulating smart devices, and still less about how cybersecurity should be enhanced. Similarly, now that everything from refrigerators to stock exchanges can be connected to a ubiquitous Internet, how can we better safeguard privacy across networks and borders? Will security scale along with this increasingly crowded field? Or, will a combination of perverse incentives, increasing complexity, and new problems derail progress and exacerbate cyber insecurity? For all the press that such questions have received, the Internet of Everything remains a topic little understood or appreciated by the public. This volume demystifies our increasingly “smart” world, and unpacks many of the outstanding security, privacy, ethical, and policy challenges and opportunities represented by the IoE. Scott J. Shackelford provides real-world examples and straightforward discussion about how the IoE is impacting our lives, companies, and nations, and explain how it is increasingly shaping the international community in the twenty-first century. Are there any downsides of your phone being able to unlock your front door, start your car, and control your thermostat? Is your smart speaker always listening? How are other countries dealing with these issues? This book answers these questions, and more, along with offering practical guidance for how you can join the effort to help build an Internet of Everything that is as secure, private, efficient, and fun as possible.

scholarly journals Social Networking and Caching Aided Collaborative Computing for the Internet of Things

2018 ◽  
Vol 56 (12) ◽  
pp. 149-155 ◽  
Author(s):  
Yutong Ai ◽  
Li Wang ◽  
Zhu Han ◽  
Ping Zhang ◽  
Lajos Hanzo
Keyword(s):  
Internet Of Things ◽  
Social Networking ◽  
The Internet ◽  
Collaborative Computing ◽  
The Internet Of Things

Computational Business Intelligence, Big Data, and Their Role in Business Decisions in the Age of the Internet of Things

2017 ◽  
pp. 249-268 ◽  
Author(s):  
Javier Vidal-García ◽  
Marta Vidal ◽  
Rafael Hernandez Barros
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Business Intelligence ◽  
The Internet ◽  
Self Assessment ◽  
Business Decisions ◽  
Business Operations ◽  
Large Databases ◽  
The Social ◽  
The Internet Of Things

The evolution of the big data and new techniques related to the processing and analysis of large databases is revolutionizing the management of companies in the age of the Internet of Things (IoT). In this chapter, we examine the possibilities of big data to improve the services offered by companies and the customer experience and increase the efficiency of these companies. Companies must accept the challenge of self-assessment and measure the barriers that threaten to prevent them from reaching to get the maximum potential derived from big data and analytics. The combination of big data and computational business intelligence will change completely processes, logistics and distribution strategies, the choice of marketing channels and any aspect of the production and marketing of products and services. A case of GE is presented to showcase the use of the IoT and big data. All companies, regardless of size or sector, will improve their business operations due to big data generated from the social media and IoT applications and its use in computational business intelligence.

scholarly journals Internet of Things in Health Care: The Social, Ethical, Legal and Professional Implications

2020 ◽  
Author(s):  
Otobong Inieke
Keyword(s):  
Internet Of Things ◽  
New Technologies ◽  
Modern Society ◽  
The Elderly ◽  
High Rate ◽  
The Internet ◽  
The Novel ◽  
The Social ◽  
Use Of The Internet ◽  
The Internet Of Things

Implications of the novel usage adoption of the internet of things in various sectors of works and life are researched and documented at pace. This is related to the overall high rate at which new technologies are adopted in modern society. Healthcare is a vital aspect of everyday activities and as such overlaps with the increasingly important role played by use of the internet and associated technologies. The purpose of this review article is to draw attention to the potential social, ethical, legal and professional limitations to using IoT in the context of healthcare. The social and ethical aspects in particular, focus on IoT usage in care of the elderly with relevant case studies as reference.

Computational Business Intelligence, Big Data, and Their Role in Business Decisions in the Age of the Internet of Things

Web Services ◽  
2019 ◽  
pp. 1048-1067
Author(s):  
Javier Vidal-García ◽  
Marta Vidal ◽  
Rafael Hernández Barros
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Business Intelligence ◽  
The Internet ◽  
Self Assessment ◽  
Business Decisions ◽  
Business Operations ◽  
Large Databases ◽  
The Social ◽  
The Internet Of Things

The evolution of the big data and new techniques related to the processing and analysis of large databases is revolutionizing the management of companies in the age of the Internet of Things (IoT). In this chapter, we examine the possibilities of big data to improve the services offered by companies and the customer experience and increase the efficiency of these companies. Companies must accept the challenge of self-assessment and measure the barriers that threaten to prevent them from reaching to get the maximum potential derived from big data and analytics. The combination of big data and computational business intelligence will change completely processes, logistics and distribution strategies, the choice of marketing channels and any aspect of the production and marketing of products and services. A case of GE is presented to showcase the use of the IoT and big data. All companies, regardless of size or sector, will improve their business operations due to big data generated from the social media and IoT applications and its use in computational business intelligence.

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