Title :
A Self-Organized Network Model with Local World and Its Robustness
Author :
Dou, Banglin ; Zhang, Shiyong
Author_Institution :
Sch. of Comput. Sci., Fudan Univ., Shanghai, China
Abstract :
In order to accurately simulate real networks, we present a self-organized network model with local world and find some nontrivial features. Nodal fitness of the model has a uniform distribution and power-law tail above critical value, its nodal degree distribution has a power-law behavior similar with nodal fitness when nodal degree is larger than local world size M. Further numerical results demonstrate that the model can tolerate random failure and intentional attack very well with bigger M.
Keywords :
complex networks; network topology; statistical distributions; degree distribution; local world; power-law behavior; self-organized network model; uniform distribution; Computational modeling; Computer networks; Computer science; IP networks; Intelligent networks; Intelligent systems; Network topology; Probability distribution; Robustness; Wireless sensor networks; complex networks; local world; robustness; self-organization;
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-5557-7
Electronic_ISBN :
978-0-7695-3852-5
DOI :
10.1109/ICINIS.2009.57