A Comprehensive Bibliometric Analysis on Social Network Anonymization: Current Approaches and Future Directions
Navid Yazdanjue, Hossein Yazdanjouei, Hassan Gharoun, Mohammad Sadegh, Khorshidi, Morteza Rakhshaninejad, Amir H. Gandomi

TL;DR
This paper provides the first comprehensive bibliometric analysis of social network anonymization, revealing key trends, themes, and future directions through extensive network and statistical analyses of studies from 2007 to 2022.
Contribution
It introduces an innovative taxonomy of existing approaches and offers a detailed roadmap for future research in social network anonymization.
Findings
Identified key keywords and trending topics in the field
Mapped the evolution of social network anonymization approaches over time
Proposed a taxonomy and future research directions
Abstract
In recent decades, social network anonymization has become a crucial research field due to its pivotal role in preserving users' privacy. However, the high diversity of approaches introduced in relevant studies poses a challenge to gaining a profound understanding of the field. In response to this, the current study presents an exhaustive and well-structured bibliometric analysis of the social network anonymization field. To begin our research, related studies from the period of 2007-2022 were collected from the Scopus Database then pre-processed. Following this, the VOSviewer was used to visualize the network of authors' keywords. Subsequently, extensive statistical and network analyses were performed to identify the most prominent keywords and trending topics. Additionally, the application of co-word analysis through SciMAT and the Alluvial diagram allowed us to explore the themes of…
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Taxonomy
TopicsPrivacy, Security, and Data Protection · Privacy-Preserving Technologies in Data · Cybercrime and Law Enforcement Studies
