Analysis of Effects on Scientific Impact Indicators Based on Coevolution of Coauthorship and Citation Networks

被引:0
|
作者
Xue, Haobai [1 ]
机构
[1] Univ Town Lib Shenzhen, Informat & Intelligence Dept, 2239 Lishui Rd, Shenzhen 518055, Peoples R China
关键词
coauthorship network; citation network; coevolution; simulation experiment; impact factors; <italic>h</italic>-index; bibliometrics; COLLABORATION; EVOLUTION; DISTRIBUTIONS; UNIVERSALITY; SCIENCE; PATTERNS; WEB;
D O I
10.3390/info15100597
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study investigates the coevolution of coauthorship and citation networks and their influence on scientific metrics such as the h-index and journal impact factors. Using a preferential attachment mechanism, we developed a model that integrated these networks and validated it with data from the American Physical Society (APS). While the correlations between reference counts, paper lifetime, and team sizes with scientific impact metrics are well-known, our findings demonstrate how these relationships vary depending on specific model parameters. For instance, increasing reference counts or reducing paper lifetime significantly boosts both journal impact factors and h-indexes, while expanding team sizes without adding new authors can artificially inflate h-indexes. These results highlight potential vulnerabilities in commonly used metrics and emphasize the value of modeling and simulation for improving bibliometric evaluations.
引用
收藏
页数:24
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