[Objective] This paper aims to explore the factors influencing consumer convergence in e-commerce. [Methods] Based on the BBV model, this paper optimized that model from the following two aspects in view of characteristics of the commodity-consumer binary network: selecting the nodes partially preferred and partially random and separately defining the weight distribution method of two types of nodes in the network during evolution. By comparing the evolution process and results of the model under different parameters, explored the impact of node weight, random factor and increase ratio of two types of nodes on consumer convergence. [Results] The evolution result proved that consumer convergence is influenced by node weight, random factor and increase ratio of two types of nodes. [Limitations] Only some typical parameters were selected, and the parameters lacked continuity. [Conclusions] Good initial online evaluation of product, high consumer rationality and low commodity market activity all contribute to a higher level of consumer convergence.
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