Title :
Characterizing and Modeling the Structure of Competitive Journal Network
Author_Institution :
Zhejiang Normal Univ. Libr., Jinhua, China
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;
Conference_Titel :
Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1541-9
DOI :
10.1109/BIFE.2011.35