Previously submitted to: JMIR Formative Research (no longer under consideration since May 01, 2024)
Date Submitted: Sep 15, 2023
Open Peer Review Period: Sep 15, 2023 - Nov 10, 2023
(closed for review but you can still tweet)
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CHATGPT HITTING THE SKY: A SOCIAL NETWORK ANALYSIS ON TWITTER: Retrospective
ABSTRACT
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. Clinical Trial: not applicable
Citation
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