A novel evolving scale-free model with tunable attractiveness |
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Authors: | Liu Xuan Liu Tian-Qi Wang Hao Li Xing-Yuan |
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Affiliation: | School of Electrical Engineering and Automation, Sichuan University, Chengdu 610000, China; College of Electronics and Information Engineering, Sichuan University, Chengdu 610000, China |
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Abstract: | In this paper, a new evolving model with tunable attractiveness is presented. Based on the Barabasi—Albert (BA) model, we introduce the attractiveness of node which can change with node degree. Using the mean-field theory, we obtain the analytical expression of power-law degree distribution with the exponent γ ∈ (3,∞). The new model is more homogeneous and has a lower clustering coefficient and bigger average path length than the BA model. |
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Keywords: | scale-free tunable attractiveness degree distribution clustering coefficient |
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