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2011•Computer Engineering and Applications JournalRequires access

Research of scale-free networks model based on energy

Min Tao

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Abstract

Complex networks research has become a new field recently,and it is crucial for understanding structure and behavior of complex systems.Researches show that a lot of complex systems possess the scale-free property.For the Barabasi and Albert(BA) model is only concerned with the age of nodes on the impact of network topology,an Energy Based Scale-Free Networks(EBSFN) model is proposed.Simulation results prove that the proposed EBSFN model has better powerlaw distribution and stability than BA model.

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What this paper is about

Complex networks research has become a new field recently,and it is crucial for understanding structure and behavior of complex systems.Researches show that a lot of complex systems possess the scale-free property.For the Barabasi and Albert(BA) model is only concerned with the age of nodes on the impact of network topology,an Energy Based Scale-Free Networks(EBSFN) model is proposed.Simulation results prove that the proposed EBSFN model has better powerlaw distribution and stability than BA model.

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Available abstract

Complex networks research has become a new field recently,and it is crucial for understanding structure and behavior of complex systems.Researches show that a lot of complex systems possess the scale-free property.For the Barabasi and Albert(BA) model is only concerned with the age of nodes on the impact of network topology,an Energy Based Scale-Free Networks(EBSFN) model is proposed.Simulation results prove that the proposed EBSFN model has better powerlaw distribution and stability than BA model.

Key concepts: Scale-free network, Complex network, Computer science, Preferential attachment, Scale (ratio), Stability (learning theory), Degree distribution, Field (mathematics)

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