Work

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

Year: 2019

Type: article

Abstract: 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.

Source: IEEE Access

DOI: 10.1109/access.2019.2895737

Authors: Jian Zhou, Ning Cai, Zong-Yuan Tan, M. Junaid Khan

Institutions: Dalian University of Technology, Northwest Minzu University, National University of Sciences and Technology

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,750

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities