• 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