An agent-based simulation model to analyze journal impact factor
| Autor: | Zong-Yuan Tan, Jian Zhou, Ning Cai |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
SIMPLE (military communications protocol) Impact factor 05 social sciences 02 engineering and technology Bibliometrics Industrial engineering Data modeling 020901 industrial engineering & automation Order (exchange) Journal Impact Factors 0509 other social sciences 050904 information & library sciences Citation |
| Zdroj: | 2018 Chinese Control And Decision Conference (CCDC). |
| Popis: | In order to research the differences of journal impact factors among different disciplines, a simple agent-based simulation model is stablished in the article. Our model uses a novel method, namely a distributed method, which can effectively simulate the publication and citation activities of the articles in the journals of a discipline. According to simulation experiments and actual collected data, the tendency of impact factors is affected by some fundamental elements that are average review period and average quantity of references. Furthermore, we can observe a satisfactory approximation between certain real data and simulation consequences. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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