Based on Citespace — Taking WOS Data as an Example (2016-2026)

DOI

10.2991/978-94-6239-701-9_97How to use a DOI?

Keywords

Cyber Law; research hotspots and trend analysis; CiteSpace; WOS

Abstract

As the core of the digital society governance system, Cyber Law has a profound impact on cyberspace security, digital economy regulation, and the protection of citizens’ rights. Existing research often focuses on specific areas or cases, lacking a systematic overview of global research trends, knowledge structures, and cutting-edge hotspots, making it difficult to grasp the overall state of the discipline. Therefore, this study will systematically explore the global research dynamics in the field of Cyber Law from 2016 to 2026, aiming to identify core themes, analyze the evolution of hotspots, and reveal knowledge structures and development frontiers to contribute to theoretical deepening, policy optimization, and practical innovation. This study employs bibliometrics and visualization analysis, using the Web of Science Core Collection as the data source. CiteSpace 6.4 R1 is used to conduct collaborative network analysis, co-occurrence analysis, cluster analysis, and emergence detection on relevant literature, thereby objectively and quantitatively presenting the core research and evolutionary trajectory of this field. Analysis reveals that Cyber Law research between 2016 and 2026 exhibits an evolutionary pattern from topic differentiation to focus convergence. Research topics are gradually focusing on cutting-edge issues such as Digital Sovereignty, Platform Responsibility, Digital Trade, and Geopolitical Competition, reflecting a progressive logic from normative construction to institutional practice and then to conflict governance.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jinghan Chen
PY  - 2026
DA  - 2026/07/30
TI  - Based on Citespace — Taking WOS Data as an Example (2016-2026)
BT  - Proceedings of the 2026 11th International Conference on Social Sciences and Economic Development (ICSSED 2026)
PB  - Atlantis Press
SP  - 948
EP  - 959
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-701-9_97
DO  - 10.2991/978-94-6239-701-9_97
ID  - Chen2026
ER  -