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数据分析与知识发现  2019, Vol. 3 Issue (3): 102-111    DOI: 10.11925/infotech.2096-3467.2018.0837
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
商品在线评价对消费趋同影响研究*
李想,钱晓东()
兰州交通大学经济管理学院 兰州 730070
Research on Impact of Commodity Online Evaluation for Consumption Convergence
Xiang Li,Xiaodong Qian()
School of Economics & Management, Lanzhou Jiaotong University, Lanzhou 730070, China
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摘要 

【目的】探究电子商务中消费趋同的影响因素。【方法】在BBV模型的基础上, 针对商品-消费者二分网络的特点进行两方面模型优化: 采用部分优选、部分随机的节点选择模式; 分别定义网络中两类节点在演化过程中的权重分配方法。通过比较不同参数下模型的演化过程及结果, 探究点强度、随机影响因子、两类节点增加比例对消费趋同的影响。【结果】演化结果证明: 消费趋同程度受点强度、随机影响因子、两类节点比例的影响。【局限】仅选取部分典型参数, 参数缺乏连续性。【结论】良好的初始商品在线评价、较高的消费理性程度和较低的商品市场活跃程度均有助于实现更高程度的消费趋同。

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李想
钱晓东
关键词 复杂网络演化在线评价消费趋同二分加权网络    
Abstract

[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.

Key wordsComplex Network    Evolution    Online Evaluation    Convergence Consumption    Bipartite Weighted Network
收稿日期: 2018-07-29     
基金资助:*本文系国家自然科学基金项目“基于复杂网络的商务大数据聚类与管理应用研究”(项目编号: 71461017)的研究成果之一
引用本文:   
李想,钱晓东. 商品在线评价对消费趋同影响研究*[J]. 数据分析与知识发现, 2019, 3(3): 102-111.
Xiang Li,Xiaodong Qian. Research on Impact of Commodity Online Evaluation for Consumption Convergence. Data Analysis and Knowledge Discovery, DOI:10.11925/infotech.2096-3467.2018.0837.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2018.0837
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