Network Visualization of ChatGPT Research: A Study Based on Term and Keyword Co-occurrence Network Analysis

Deep Kumar Kirtania

doi:10.20944/preprints202304.0069.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 4 April 2023 / Approved: 6 April 2023 / Online: 6 April 2023 (03:46:00 CEST)

The main objective of this paper is to identify the major research areas of ChatGPT through term and keyword co-occurrence network mapping techniques. For conducting the present study, total of 577 publications were retrieved from the Lens database for the network visualization. The findings of the study showed that “chatgpt” occurrence in maximum number of times followed by its related terms such as artificial intelligence, large language model, gpt, study etc. This study will be helpful to library and information science as well as computer or information technology professionals.

Network Visualization; Term co-occurrence; Keyword co-occurrence; Artificial Intelligence; ChatGPT; Bibliometrics

Social Sciences, Library and Information Sciences

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Network Visualization of ChatGPT Research: A Study Based on Term and Keyword Co-occurrence Network Analysis

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