Related papers: Scito2M: A 2 Million, 30-Year Cross-disciplinary Dataset for Temporal Scientometric Analysis

Scito2M: A 2 Million, 30-Year Cross-disciplinary Dataset for Temporal Scientometric Analysis

URL: http://arxiv.org/abs/2410.09510v1
Date: Sat, 12 Oct 2024 12:16:57 GMT
Title: Scito2M: A 2 Million, 30-Year Cross-disciplinary Dataset for Temporal Scientometric Analysis
Authors: Yiqiao Jin, Yijia Xiao, Yiyang Wang, Jindong Wang,
Abstract summary: We introduce Scito2M, a longitudinal scientometric dataset with over two million academic publications. Using Scito2M, we conduct a temporal study spanning over 30 years to explore key questions in scientometrics.
Score: 11.672477198630574
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Understanding the creation, evolution, and dissemination of scientific knowledge is crucial for bridging diverse subject areas and addressing complex global challenges such as pandemics, climate change, and ethical AI. Scientometrics, the quantitative and qualitative study of scientific literature, provides valuable insights into these processes. We introduce Scito2M, a longitudinal scientometric dataset with over two million academic publications, providing comprehensive contents information and citation graphs to support cross-disciplinary analyses. Using Scito2M, we conduct a temporal study spanning over 30 years to explore key questions in scientometrics: the evolution of academic terminology, citation patterns, and interdisciplinary knowledge exchange. Our findings reveal critical insights, such as disparities in epistemic cultures, knowledge production modes, and citation practices. For example, rapidly developing, application-driven fields like LLMs exhibit significantly shorter citation age (2.48 years) compared to traditional theoretical disciplines like oral history (9.71 years).

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