Analysis of Effects to Journal Impact Factors Based on Citation Networks Generated via Social Computing

被引：12

作者：

Zhou, Jian ^{[1
,2
,3
]}

Cai, Ning ^{[3
,4
]}

Tan, Zong-Yuan ^{[1
,3
]}

Khan, M. Junaid ^{[5
]}

机构：

[1] Northwest Minzu Univ, Key Lab Chinas Ethn Languages & Informat Technol, Minist Educ, Lanzhou 730030, Gansu, Peoples R China

[2] Dalian Univ Technol, Sch Comp Sci & Technol, Dalian 116023, Peoples R China

[3] Beijing Univ Posts & Telecommun, Sch Automat, Beijing 100876, Peoples R China

[4] Northwest Minzu Univ, Coll Elect Engn, Lanzhou 730030, Gansu, Peoples R China

[5] Natl Univ Sci & Technol, Sch PN Engn, Islamabad, Pakistan

来源：

IEEE ACCESS | 2019年 / 7卷

关键词：

Social computing; impact factor; citation network; simulation experiment;

D O I：

10.1109/ACCESS.2019.2895737

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Via the idea of social computing, a simple experimental model is developed as a reference for exploring the variation of journal impact factors, particularly between different disciplines. Our model intends to simulate the publication and citation behaviors of the articles in journals belonging to a similar discipline, in a distributed manner. Based on the citation networks generated, the mechanism of influence from several fundamental factors to the trend of impact factor is better revealed. These factors include the average review cycle, the average number of references, and yearly distribution of references. The analysis also reveals a satisfactory capability of the model for approximation between actual data and simulation results.

引用

页码：19775 / 19781

页数：7

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