{"title":"Research on the morphological structure of network social-ecological system","authors":"Mingzhi Yao, Honglu Liu, Xiaolan Guan, Xiaomin Zhu","doi":"10.1109/ICLSIM.2010.5461351","DOIUrl":null,"url":null,"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.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICLSIM.2010.5461351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.