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- W1964880883 abstract "Abstract A network growth model with geographic limitation of accessible information about the status of existing nodes is investigated. In this model, the probability Π ( k ) of an existing node of degree k is found to be super-linear with Π ( k ) ∼ k α and α > 1 when there are links from new nodes. The numerical results show that the constructed networks have typical power-law degree distributions P ( k ) ∼ k − γ and the exponent γ depends on the constraint level. An analysis of local structural features shows the robust emergence of scale-free network structure in spite of the super-linear preferential attachment rule. This local structural feature is directly associated with the geographical connection constraints which are widely observed in many real networks." @default.
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- W1964880883 date "2008-06-01" @default.
- W1964880883 modified "2023-09-30" @default.
- W1964880883 title "Scale-free networks by super-linear preferential attachment rule" @default.
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- W1964880883 doi "https://doi.org/10.1016/j.physa.2008.01.030" @default.
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