BACKGROUND
Chatbots are smart informal computer systems that simulate human discussion and allow computerized online assistance. Currently, there is no research about the context of a discussion regarding the use of the Chat Generative Pre-Trained Transformer (ChatGPT) among communities of different fields.
OBJECTIVE
This study will explore the existing type of social structure regarding “ChatGPT” on the Twitter network. It determined the top opinion leaders in these networks and explored the type of topics that generates users’ interest in “ChatGPT”.
METHODS
This study applied NodeXL to analyze the results and retrieved Twitter data from January 16, 2023, using the keywords “ChatGPT” and 19024 Tweets were collected. The gathered information was spontaneously collected in the “vertices” and “edges” on the NodeXL datasheets
RESULTS
We found that the top opinion leader (vertex) “Stratorob” had the highest in-betweeners and out-degree centrality. “OpenAi” had the in-degree centrality for networks. The results indicate that the vertex having maximum influence with the largest number of in-betweenness centrality has not linked with several followers.
CONCLUSIONS
The content of top networks’ Tweets was around the number of “ChatGPT” innovations with the potential to significantly improve education delivery and innovative technologies, especially in healthcare and medical education.
CLINICALTRIAL
not applicable