Beyond the Internet of Things: The Social Networking of Machines

Ptiček, Marina; Podobnik, Vedran; Jezic, Gordan

doi:10.1155/2016/8178417

Cited by 39 publications

(23 citation statements)

References 44 publications

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“…A new trend is the social internetworking of machines. The ultimate goal in this evolution is creating the Internet of Things (IoT) and social networks among machines [11].…”

Section: Resultsmentioning

confidence: 99%

Social Networking

Sadiku¹,

Omotoso²,

Musa³

2019

IJTSRD

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Social networks constitute the greatest global information platform on the Internet today. They have become an indispensable part of our daily lives as people spend more time socializing on the Internet. They have witnessed their collective fortunes rise as they become ubiquitous in our lives. The penetration of these technologies into the popular culture has been pervasive. However, creating online social networks raises privacy concerns of possible misuse. This paper provides a brief introduction to social networking and its diverse applications.

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“…A new trend is the social internetworking of machines. The ultimate goal in this evolution is creating the Internet of Things (IoT) and social networks among machines [11].…”

Section: Resultsmentioning

confidence: 99%

Social Networking

Sadiku¹,

Omotoso²,

Musa³

2019

IJTSRD

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“…The persistent market economic pattern of division of labor, specialization, and differentiation is now accelerated by the "endeavor to connect not only everyone, but also everything" (Pticek et al 2016). Humans became the minority on the Internet 10 years ago.…”

Section: Micro-division Of Labormentioning

confidence: 99%

Economic patterns in a world with artificial intelligence

Wagner

2020

Evolut Inst Econ Rev

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This article outlines relevant economic patterns in a world with artificial intelligence (AI). Five specific economic patterns influenced by AI are discussed: (1) following in the footsteps of 'homo economicus' a new type of agent, 'machina economica', enters the stage of the global economy. (2) The pattern of division of labor and specialization is further accelerated by AI-induced micro-division of labor. (3) The introduction of AI leads to triangular agency relationships and next level information asymmetries. (4) Data and AI-based machine labor have to be understood as new factors of production. (5) The economics of AI networks can lead to market dominance and unwanted external effects. The analytical perspective is rooted in institutional economics and serves to integrate findings from relevant disciplines in economics and computer science. It is based on the research proposition that 'institutional matters' are of high relevance also in a world with AI but that AI gives a new meaning to these matters. The discussion unveils a reinforcing interdependence of the patterns portrayed and points to required research.

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“…While the machines are increasing exponentially, there is a desire to reduce their cost almost to nothing to enable communication between even very small and ordinary things around us. This endeavor has resulted in technologies and systems like Wireless Sensor Network, Internet of Things (IoT), Cyber-Physical Systems and Human-Agent Collectives (HAC) (sociotechnical systems) [13]. IoT has gained a tremendous interest not only from the researchers but also from the industry.…”

Section: Related Workmentioning

confidence: 99%

A Simulation Model Demonstrating the Impact of Social Aspects on Social Internet of Things

Zia

Maskari

Saini

et al. 2019

Proceedings of the 21st International Conference on Information Integration and Web-Based Applications &Amp; Services

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In addition to seamless connectivity and smartness, the objects in the Internet of Things (IoT) are expected to have the social capabilities -these objects are termed as "social objects". In this paper, an intuitive paradigm of social interactions between these objects are argued and modeled.The impact of social behavior on the interaction pattern of social objects is studied taking Peerto-Peer (P2P) resource sharing as an example application. The model proposed in this paper studies the implications of competitive vs. cooperative social paradigm, while peers attempt to attain the shared resources / services. The simulation results divulge that the social capabilities of the peers impart a significant increase in the quality of interactions between social objects.Through an agent-based simulation study, it is proved that cooperative strategy is more efficient than competitive strategy. Moreover, cooperation with an underpinning on real-life networking structure and mobility does not negatively impact the efficiency of the system at all; rather it helps.

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Beyond the Internet of Things: The Social Networking of Machines

Cited by 39 publications

References 44 publications

Social Networking

Social Networking

Economic patterns in a world with artificial intelligence

A Simulation Model Demonstrating the Impact of Social Aspects on Social Internet of Things

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