DocumentCode
2904175
Title
Characterizing and Modeling the Structure of Competitive Journal Network
Author
Hui, Shumin
Author_Institution
Zhejiang Normal Univ. Libr., Jinhua, China
fYear
2011
fDate
17-18 Oct. 2011
Firstpage
303
Lastpage
306
Abstract
Not similar to the current research interests on citation networks and co-author networks, this paper focuses on the competitive journal network. By investigating the structure of an empirically competitive journal network, this paper shows that the competitive journal network has four fundamentally topological characteristics, including hierarchical modularity, positive degree correlation, exponential degree distributions, and self-similarity. Due to current models being unable to effectively reproduce these observed characteristics, a simple model is proposed and it can predict the four topological characteristics simultaneously.
Keywords
citation analysis; citation networks; coauthor networks; competitive journal network; exponential degree distributions; hierarchical modularity; positive degree correlation; selfsimilarity; topological characteristics; Artificial neural networks; Biological system modeling; Collaboration; Complex networks; Computational modeling; Correlation; Predictive models; competitive journal network; complex network; empirical characteristics; modelling;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4577-1541-9
Type
conf
DOI
10.1109/BIFE.2011.35
Filename
6121144
Link To Document