Load Distribution-Based Research on a Cascading Failure Model of Network Public Opinion Dissemination
| Autor: | Changhua Yao, Jia Yongxing, Lei Wang, Xiaohan Yu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
General Computer Science
Computer science Distributed computing Network science 02 engineering and technology differential dynamic system 01 natural sciences load distribution 0103 physical sciences 0202 electrical engineering electronic engineering information engineering General Materials Science Sensitivity (control systems) Electrical and Electronic Engineering 010306 general physics Public opinion Node (networking) General Engineering Process (computing) Cascading failure Expression (mathematics) propagation model cascading failure 020201 artificial intelligence & image processing lcsh:Electrical engineering. Electronics. Nuclear engineering State (computer science) Power-system protection lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 6, Pp 35272-35282 (2018) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2018.2850332 |
| Popis: | Research of network cascading failures is a heavily researched topic in network science research. The expression of a network cascading failure mechanism by a dynamic equation has become a basic mode for research of cascading failures. With the promotion of complexity and intelligent of nodes, it is difficult to reflect the evolution of the actual large network state objectively that only considering the coupling relationship among nodes from one network. To describe the dissemination process of network public opinion more accurately, this paper proposes a failure propagation model of network public opinion dissemination based on load spatial distribution, in which evolutional behaviors of nodes were expanded to overall evolutional behaviors of a network based on network coupling relations, and difficulty of analysis and solution was reduced through periodic iteration and feature value decomposition of network adjacent matrixes. Experimental results verify the feasibility and validity of this method. Failure analysis of the computer network also indicates that node behaviors could facilitate weakening of effects generated from attacks and failures. Meanwhile, weakening of nodes could effectively reduce the network sensitivity to deliberate attacks. |
| Databáze: | OpenAIRE |
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