A new complex network model and convergence dynamics for reputation computation in virtual organizations

作者：Cao Jinde^*; Yu Wenwu; Qu Yuzhong

来源：Physics Letters, Section A: General, Atomic and Solid State Physics , 2006, 356(6): 414-425.

DOI：10.1016/j.physleta.2006.04.005

• complex network
• reputation computation
• virtual organization
• Lyapunov method
• trust
• reputation degree
• LMI
• convergence dynamics
• stability
• semantic web
• semantic grid

In this Letter, a new complex network model is established for reputation computation in virtual organizations, and its dynamics is investigated. Several sufficient conditions have been derived to ensure the global asymptotical stability of the new complex network model by using Lyapunov method and linear matrix inequality (LMI) technique, where the stability means that the reputation degrees of entities can tend to some fixed constants as time evolves. Also, for this new model, some other dynamical phenomena such as bifurcation and chaos synchronization are proposed for our consideration in the future. This may open a new research branch in the area.

• 出版日期2006-8-21
• 单位东南大学