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- W2368374558 abstract "Degree distribution and average path length are two important structural characteristics of complex networks.For randomly growing networks,there has not been a generic analytical computation technique for their average path length,which is obtained mainly by computer simulations.To solve this problem,firstly,the expression of degree distribution for the random exponential BA network is derived analytically by master-equation approach,which is more consistent with the simulations than that given by Barabasi,et al.Then the emphasis switches to the computation of the average path length for both random and deterministic exponential BA networks.The obtained average path length is similar to the counterpart of ER random graph,which increases logarithmically with the network size.Also,simulations are done for the properties of the random situation,which are in good agreement with the analytical results.Furthermore,the degree distribution and diameter of the deterministic exponential BA network are found exactly.Finally,comparative research is done on the structural characteristics of the two networks.The obtained results show that the two networks have quantitatively different topological properties,while they are qualitatively similar." @default.
- W2368374558 created "2016-06-24" @default.
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- W2368374558 date "2007-01-01" @default.
- W2368374558 modified "2023-09-25" @default.
- W2368374558 title "Exact computations for structural characteristics of BA exponential networks" @default.
- W2368374558 hasPublicationYear "2007" @default.
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