Modeling and Simulation Analysis of Journal Impact Factor Dynamics Based on Submission and Citation Rules

被引：5

作者：

Zhou, Jian ^{[1
]}

Feng, Lin ^{[1
]}

Cai, Ning ^{[2
,3
]}

Yang, Jie ^{[4
]}

机构：

[1] Dalian Univ Technol, Sch Comp Sci & Technol, Dalian 116024, Peoples R China

[2] Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Beijing 100876, Peoples R China

[3] Northwest Minzu Univ, Minist Educ, Key Lab Chinas Ethn Languages & Informat Technol, Lanzhou 730000, Peoples R China

[4] Tsinghua Univ, Res Inst Informat Technol, Beijing 100084, Peoples R China

来源：

COMPLEXITY | 2020年 / 2020卷

基金：

中国国家自然科学基金;

关键词：

AGENT-BASED MODEL; SYSTEMS; SCIENCE; DOCUMENTATION; PUBLICATION; ASSOCIATION; PERFORMANCE; LIMITATIONS; DIMENSION; INDEXES;

D O I：

10.1155/2020/3154619

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

The variation of the journal impact factor is affected by many statistical and sociological factors such as the size of citation window and subject difference. In this work, we develop an impact factor dynamics model based on the parallel system, which can be used to analyze the correlation between the impact factor and certain elements. The parallel model aims to simulate the submission and citation behaviors of the papers in journals belonging to a similar subject, in a distributed manner. We perform Monte Carlo simulations to show how the model parameters influence the impact factor dynamics. Through extensive simulations, we reveal the important role that certain statistics elements and behaviors play to affect impact factors. The experimental results and analysis on actual data demonstrate that the value of the JIF is comprehensively influenced by the average review time, average number of references, and aging distribution of citation.

引用

页数：17

共 40 条

[1]

[Anonymous], 1991, AM SOCIOL, DOI DOI 10.1007/BF02691867

[2] Emergence of scaling in random networks [J].

Barabási, AL ;

Albert, R .

SCIENCE, 1999, 286 (5439) :509-512

[3] Advantages and limitations in the use of impact factor measures for the assessment of research performance in a peripheral country [J].

Bordons, M ;

Fernández, MT ;

Gómez, I .

SCIENTOMETRICS, 2002, 53 (02) :195-206

[4] Can the journal impact factor be used as a criterion for the selection of junior researchers? A large-scale empirical study based on ResearcherID data [J].

Bornmann, Lutz ;

Williams, Richard .

JOURNAL OF INFORMETRICS, 2017, 11 (03) :788-799

[5]

Bornmann L, 2016, EMBO REP, V17, P1094, DOI 10.15252/embr.201642823

[6] Diversity, value and limitations of the journal impact factor and alternative metrics [J].

Bornmann, Lutz ;

Marx, Werner ;

Gasparyan, Armen Yuri ;

Kitas, George D. .

RHEUMATOLOGY INTERNATIONAL, 2012, 32 (07) :1861-1867

[7] Scholarly impact assessment: a survey of citation weighting solutions [J].

Cai, Liwei ;

Tian, Jiahao ;

Liu, Jiaying ;

Bai, Xiaomei ;

Lee, Ivan ;

Kong, Xiangjie ;

Xia, Feng .

SCIENTOMETRICS, 2019, 118 (02) :453-478

[8] A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems [J].

Cai, Ning ;

Diao, Chen ;

Khan, M. Junaid .

COMPLEXITY, 2017,

[9]

Cioffi-Revilla C., 2014, INTRO COMPUTATIONAL

[10]

Epstein Joshua M, 2006, Generative Social Science: Studies in Agent-Based Computational Modeling

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