An Agent-based Simulation Model to Analyze Journal Impact Factor

被引：0

作者：

Tan, Zong-Yuan ^{[1
]}

Cai, Ning ^{[1
,2
]}

Zhou, Jian ^{[1
]}

机构：

[1] Northwest Minzu Univ, Coll Elect Engn, Lanzhou, Peoples R China

[2] Key Lab Chinas Natl Linguist Informat Technol, Lanzhou, Peoples R China

来源：

PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年

关键词：

Distributed simulation; Impact factor and Citation behavior; MULTIAGENT SYSTEMS; MANIPULATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：3681 / 3686

页数：6

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