Abstract：In this paper, we propose a weight-driven evolution model of directed stock investment network, whose new nodes join in the network with the mechanism of doubly stochastic Poisson process. The model introduces the strength preferential attachment and dynamical evolution to mimic the weighted growing network. The calculation shows that power law distribution for both out- in strength and the evolution of nodes, which are all consistent with empirical evidence.
李艳, 韩华, 汪金水. 基于泊松理论的动态股票网络投资模型[J]. 复杂系统与复杂性科学, 2015, 12(3): 70-76.
LI Yan, HAN Hua, WANG Jinshui. Dynamics of Stock Network Based on the Poisson Theory[J]. Complex Systems and Complexity Science, 2015, 12(3): 70-76.
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