Analysis of the relationships among paper citation and its influencing factors: a Bayesian network-based approach

The broad use of citations as evaluation basis has prompted the academic community to think about the mechanism of citations. In this paper, we propose a Bayesian network-based method for the analysis of the relationships among paper citation and its influencing factors. We investigate the factors t...

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Bibliographic Details
Published in:Scientometrics 2023-05, Vol.128 (5), p.3017-3033
Main Authors: Sun, Mingyue, Ma, Tingcan, Zhou, Lewei, Yue, Mingliang
Format: Article
Language:English
Subjects:
Algorithms
Bayesian analysis
Citation analysis
Computer Science
Information Storage and Retrieval
Intelligence (information)
Library Science
Machine learning
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Summary:The broad use of citations as evaluation basis has prompted the academic community to think about the mechanism of citations. In this paper, we propose a Bayesian network-based method for the analysis of the relationships among paper citation and its influencing factors. We investigate the factors that may be related to paper citation, calculate the factor values and determine the factor states. Then we design an amended K2 algorithm for Bayesian network structure learning to handle the situation that no strict sort exists among factors. At last, we use Bayesian network inference to analyse the relationships among paper citation and the influencing factors and present certain interesting findings. We believe the method can provide scholars with new intelligence analysis approach, either for citation analysis or other related issues like talent analysis, research areas analysis, and others.
ISSN:0138-9130
1588-2861
DOI:10.1007/s11192-023-04697-3