An In-depth Analysis of Current Trends in ChatGPT Academia, Scholars' Sentiments, and Network Characteristics in Co-authorship of Published Papers

This paper provides a comprehensive analysis of the current trends in ChatGPT academia, scholars' sentiments, and network characteristics in the co-authorship of published papers. With the rapid development and widespread adoption of ChatGPT, a powerful AI language model developed by OpenAI, there is a growing need to understand its impact on academia and society at large. This work aims to address three main questions: (1) What are the hot topics researchers are exploring when it comes to ChatGPT? (2) How do scholars feel about this new technology? (3) What can we learn from looking at who collaborates on academic papers about ChatGPT? Utilizing techniques like MDCOR and the R language, this work meticulously analyzes academic results, public sentiments, and co-authorship networks. The findings highlight key themes and sentiments in the academic community, revealing a generally positive attitude towards ChatGPT, but with concerns about potential risks and limitations. Additionally, the analysis of co-authorship networks underscores the need to promote diverse collaborations to avoid education monopolies. In conclusion, this study offers valuable insights for responsible AI integration and academic progress, shedding light on the prevailing trends, sentiments, and network characteristics in ChatGPT academia.