The Internet of Things (IoT) and the Transformation of Social Interaction: A Bibliometric Analysis

This study explores the evolving relationship between the Internet of Things (IoT) and social interaction through a comprehensive bibliometric analysis. By examining indexed literature from the Scopus database, the research maps the intellectual structure, thematic trends, and global collaboration patterns in this interdisciplinary domain. Using VOSviewer for visualization, the study identifies core research themes—such as smart environments, artificial intelligence, emotion recognition, data privacy, and trust management—and reveals a transition from infrastructure-based studies to socially and cognitively oriented applications. The analysis highlights key authors, dominant publication clusters, and countries leading the field, with the United States, China, and India emerging as major contributors. Co-authorship and keyword co-occurrence networks show increasing emphasis on ethical, affective, and user-centric dimensions of IoT. Temporal and density analyses confirm a shift toward emerging concerns in healthcare, education, and social behavior. The findings emphasize the need for inclusive and socially responsive approaches in future IoT research and development, positioning IoT not only as a technological innovation but as a transformative force in shaping human relationships and communication.

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Publication Details

Journal
Sciences du Nord Humanities and Social Sciences
Published
2025-06-30
DOI
https://doi.org/10.71238/snhss.v2i01.52
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

The Internet of Things (IoT) and the Transformation of Social Interaction: A Bibliometric Analysis

Loso Judijanto
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Sciences du Nord Humanities and Social Sciences
Impact of AI and Big Data on Business and Society
article

The Internet of Things (IoT) and the Transformation of Social Interaction: A Bibliometric Analysis

Loso Judijanto
article en

Abstract

This study explores the evolving relationship between the Internet of Things (IoT) and social interaction through a comprehensive bibliometric analysis. By examining indexed literature from the Scopus database, the research maps the intellectual structure, thematic trends, and global collaboration patterns in this interdisciplinary domain. Using VOSviewer for visualization, the study identifies core research themes—such as smart environments, artificial intelligence, emotion recognition, data privacy, and trust management—and reveals a transition from infrastructure-based studies to socially and cognitively oriented applications. The analysis highlights key authors, dominant publication clusters, and countries leading the field, with the United States, China, and India emerging as major contributors. Co-authorship and keyword co-occurrence networks show increasing emphasis on ethical, affective, and user-centric dimensions of IoT. Temporal and density analyses confirm a shift toward emerging concerns in healthcare, education, and social behavior. The findings emphasize the need for inclusive and socially responsive approaches in future IoT research and development, positioning IoT not only as a technological innovation but as a transformative force in shaping human relationships and communication.

Sciences du Nord Humanities and Social SciencesVol. 2(01)
Openalex Percentile: Top 80%
Impact of AI and Big Data on Business and Society
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