JCP 2010 Vol.5(4): 622-630 ISSN: 1796-203X
doi: 10.4304/jcp.5.4.622-630
doi: 10.4304/jcp.5.4.622-630
Dynamics Modeling and Simulation of System Catastrophe in Knowledge Collaboration Complexity Network
Zhu-Chao Yu and Zhi-Ping Fan
Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang 110004, China
Abstract—Knowledge collaboration network is a kind of complexity network. System catastrophe phenomenon will appear in the knowledge collaboration complexity network in some condition, and the whole system will became lowefficiency or inefficiency. Based on the analysis of catastrophe phenomenon in the knowledge collaboration complexity networks, this paper proposed a catastrophe model. Using with the dynamics simulation tool VERSIM, a dynamics model of catastrophe phenomenon in the knowledge collaboration complexity network is built. Moreover, simulation results are given, which disposed reasons of catastrophe phenomenon in the knowledge collaboration complexity network.
Index Terms—knowledge collaboration, system catastrophe, complexity network, dynamics modeling and simulation
Abstract—Knowledge collaboration network is a kind of complexity network. System catastrophe phenomenon will appear in the knowledge collaboration complexity network in some condition, and the whole system will became lowefficiency or inefficiency. Based on the analysis of catastrophe phenomenon in the knowledge collaboration complexity networks, this paper proposed a catastrophe model. Using with the dynamics simulation tool VERSIM, a dynamics model of catastrophe phenomenon in the knowledge collaboration complexity network is built. Moreover, simulation results are given, which disposed reasons of catastrophe phenomenon in the knowledge collaboration complexity network.
Index Terms—knowledge collaboration, system catastrophe, complexity network, dynamics modeling and simulation
Cite: Zhu-Chao Yu and Zhi-Ping Fan, " Dynamics Modeling and Simulation of System Catastrophe in Knowledge Collaboration Complexity Network," Journal of Computers vol. 5, no. 4, pp. 622-630, 2010.
General Information
ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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