Title: A Spatial-Growth Approach for Distinct Complex Networks
Abstract: Complex networks extensively exist in human society and natural world.We here report a new mechanism that maximizes the expected utility of attaching a new node to the existing network at each growing stage of the network.On the base of this mechanism,the utility that considers both the connection and the geography is formulated.The effects caused by geography on connection distributions,clustering coefficients,and affinity patterns are investigated.Simulation results show that the proposed approach can generate a variety of topological networks,including random graphs,small-world networks,scale-free networks and other new networks.It is shown that the spatial effects may play an important role in the pattern of connection affinity.
Publication Year: 2006
Publication Date: 2006-01-01
Language: en
Type: article
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