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ORIGINAL RESEARCH article
Front. Res. Metr. Anal.
Sec. Research Assessment
Volume 9 - 2024 |
doi: 10.3389/frma.2024.1456978
This article is part of the Research Topic Science of Science: A Complex Network Perspective View all 3 articles
Complexity and Phase Transitions in Citation Networks: Insights from Artificial Intelligence Research
Provisionally accepted- 1 Universidade Federal de Jataí, Jataí, Brazil
- 2 Federal Technological University of Paraná, Curitiba, Brazil
In this study, we analyze the changes over time in the complexity and structure of words used in article titles and the connections between articles in citation networks, focusing on the topic of artificial intelligence (AI) up to 2020. By measuring unpredictability in word usage and changes in the connections between articles, we gain insights into shifts in research focus and diversity of themes. Our investigation reveals correspondence between fluctuations in word complexity and changes in the structure of citation networks, highlighting links between thematic evolution and network dynamics. This approach not only enhances our understanding of scientific progress but also may help in anticipating emerging fields and fostering innovation, providing a quantitative lens for studying scientific domains beyond AI.
Keywords: Citation network, artificial intelligence, Shannon entropy, fractal dimension, complex networks
Received: 29 Jun 2024; Accepted: 03 Sep 2024.
Copyright: © 2024 Costa and Frigori. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Ariadne A. Costa, Universidade Federal de Jataí, Jataí, Brazil
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