Title :
Construction of Complex Networks Based on Evolutionary Set Theory
Author :
Dongwei Guo ; Bo Zhang ; Miao Liu ; Rui Guo
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Abstract :
This paper proposes an evolutionary model for the construction of complex networks. The model uses evolutionary set theory to simulate the process of how a real network generates. Evolutionary set theory is a model of spatial game. Individuals exist as nodes in the network and connections between nodes imply the relationship of individuals. If there is a connection existed between two individuals, they may interact with each other and gain payoff. The evolution of network is due to the activities of individuals. The topology and property of network change with the evolution. We find through the simulation that the network exhibits the property of small world and scale free. On the other hand, we analyze the process of the evolution. Through the mechanism of sets decay, the network declines and we find the best interval of snapshots which are mature and meet our goal.
Keywords :
evolutionary computation; game theory; network theory (graphs); set theory; small-world networks; complex networks; evolutionary model; evolutionary set theory; network property; scale free network; small world network; spatial game; topology; Complex networks; Games; Mathematical model; Set theory; Social network services; Sociology; Statistics; Complex network; Evolutionary set theory; Social network; Spatial game;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
DOI :
10.1109/IHMSC.2013.241