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Quantifying Knowledge Evolution with Thermodynamics: A Data-Driven Study of Scientific Concepts

Year: 2024

Type: article

Abstract: This document provides additional materials to support the findings discussed in the main text of the research article titled "Quantifying Knowledge Evolution with Thermodynamics: A Data-Driven Study of Scientific Concepts". These supplementary materials are intended to enhance understanding by allowing users to interactively explore the thermodynamic properties of scientific concepts through the use of active tooltips embedded within the figures.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13889771

Author: Chumachenko, Artem

Institutions: Taras Shevchenko National University of Kyiv, University of Warsaw

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6949435976

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