DocumentCode :
593174
Title :
Multiagent Simulation of Complex Dynamic Evolving Network´s Survivability
Author :
Deng Hongzhong ; Wu Jun ; Tan YueJin
Author_Institution :
Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2012
fDate :
6-8 Nov. 2012
Firstpage :
419
Lastpage :
422
Abstract :
Complex network´s survivability is an interesting research topic of complex system and network science that the survivability is depended on node´s behavior and network topology. Some researchers have studied the static network´s survivability based on the structure analyzing [1-5], including the macro and micro structure. But less research results are about the dynamic evolving network that nodes, edges then the topology of network can change continually. One difficult in study of dynamic network´s survivability is that its behavior, structure, components and the vertices aren´t easy for depicting and describing. Another difficult come from the impact of components´ dynamic behavior and components´ connect structure on network´s survivability is hard to measure and compute. To study complex dynamic evolving network´s survivability, the authors designed a multiagent based complex dynamic network model, defined two parameters for the evaluation of network´s survivability and studied the survivability of dynamic network through multiagent simulating. At last, author stated the effect of the multiagent based simulation method on the analyzing of dynamic network´s survivability.
Keywords :
graph theory; multi-agent systems; network theory (graphs); complex dynamic network survivability; dynamic network behavior components; multiagent-based complex dynamic network model; multiagent-based simulation method; network edges; network node behavior; network structure; network topology; network vertices; Intelligent systems; complex dynamic evolving network; multiagent simulation; survivability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems (GCIS), 2012 Third Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-3072-5
Type :
conf
DOI :
10.1109/GCIS.2012.93
Filename :
6449567
Link To Document :
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