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

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

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...

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Bibliographic Details
Main Authors: Jian Zhou, Ning Cai, Zong-Yuan Tan, M. Junaid Khan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Social computing
impact factor
citation network
simulation experiment
Online Access:https://ieeexplore.ieee.org/document/8628985/
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spelling doaj-e92761e712e146dfbea0653e4d10da342021-03-29T22:33:23ZengIEEEIEEE Access2169-35362019-01-017197751978110.1109/ACCESS.2019.28957378628985Analysis of Effects to Journal Impact Factors Based on Citation Networks Generated via Social ComputingJian Zhou0Ning Cai1https://orcid.org/0000-0003-3836-4822Zong-Yuan Tan2M. Junaid Khan3Key Laboratory of China’s Ethnic Languages and Information Technology, Northwest Minzu University, Ministry of Education, Lanzhou, ChinaSchool of Automation, Beijing University of Posts and Telecommunications, Beijing, ChinaKey Laboratory of China’s Ethnic Languages and Information Technology, Northwest Minzu University, Ministry of Education, Lanzhou, ChinaSchool of PN Engineering, National University of Sciences and Technology, Islamabad, PakistanVia 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.https://ieeexplore.ieee.org/document/8628985/Social computingimpact factorcitation networksimulation experiment
collection DOAJ
language English
format Article
sources DOAJ
author Jian Zhou
Ning Cai
Zong-Yuan Tan
M. Junaid Khan
spellingShingle Jian Zhou
Ning Cai
Zong-Yuan Tan
M. Junaid Khan
Analysis of Effects to Journal Impact Factors Based on Citation Networks Generated via Social Computing
IEEE Access
Social computing
impact factor
citation network
simulation experiment
author_facet Jian Zhou
Ning Cai
Zong-Yuan Tan
M. Junaid Khan
author_sort Jian Zhou
title Analysis of Effects to Journal Impact Factors Based on Citation Networks Generated via Social Computing
title_short Analysis of Effects to Journal Impact Factors Based on Citation Networks Generated via Social Computing
title_full Analysis of Effects to Journal Impact Factors Based on Citation Networks Generated via Social Computing
title_fullStr Analysis of Effects to Journal Impact Factors Based on Citation Networks Generated via Social Computing
title_full_unstemmed Analysis of Effects to Journal Impact Factors Based on Citation Networks Generated via Social Computing
title_sort analysis of effects to journal impact factors based on citation networks generated via social computing
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description 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.
topic Social computing
impact factor
citation network
simulation experiment
url https://ieeexplore.ieee.org/document/8628985/
work_keys_str_mv AT jianzhou analysisofeffectstojournalimpactfactorsbasedoncitationnetworksgeneratedviasocialcomputing
AT ningcai analysisofeffectstojournalimpactfactorsbasedoncitationnetworksgeneratedviasocialcomputing
AT zongyuantan analysisofeffectstojournalimpactfactorsbasedoncitationnetworksgeneratedviasocialcomputing
AT mjunaidkhan analysisofeffectstojournalimpactfactorsbasedoncitationnetworksgeneratedviasocialcomputing
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