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
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