• DocumentCode
    515220
  • Title

    Research on the morphological structure of network social-ecological system

  • Author

    Yao, Min ; Liu, Honglu ; Guan, Xiaolan ; Zhu, Xiaomin

  • Author_Institution
    Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    9-10 Jan. 2010
  • Firstpage
    606
  • Lastpage
    610
  • Abstract
    Network society is a new social formation promoted by information technologies which mainly refer to computer and Internet technologies. It could be suitable to apply the fundamental principle of ecology to the research of network society as an ecosystem, named network social-ecological system. Network social-ecological system has intricate formation and structure and is in a constant change. This paper analyzes the process of network social-ecological system structure formation by Maximum Flow Principle (MFP). A model based on MFP and Self Organization Map (SOM) neural networks is proposed to simulate the changes in the number of global network users and Websites. This paper also tries to find the underlying dynamics of network social-ecological system formation.
  • Keywords
    neural nets; social networking (online); Internet technologies; Websites; computer; ecosystem; global network users; information technologies; maximum flow principle; morphological structure; network social-ecological system; network society; self organization map neural networks; Communication system traffic control; Computer networks; Control engineering; Ecosystems; Environmental factors; IP networks; Information technology; Internet; Space technology; Transportation; Maximum Flow Principle; Network Social-Ecological System; SOM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logistics Systems and Intelligent Management, 2010 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-7331-1
  • Type

    conf

  • DOI
    10.1109/ICLSIM.2010.5461351
  • Filename
    5461351