数字型创业企业的成长机制研究——基于双边规则多局域世界模型的仿真分析

Research on the Growth Mechanism of Digital Startups: A Simulation Analysis Based on Bilateral Rules and Multi-local World Model

摘要:

在数字经济时代，以数据技术和数据资源为主要生产资料的数字型创业企业，成为推动经济快速发展的重要力量之一。本文从复杂网络理论出发，结合数字型创业企业成长的现实特征，提出“双边规则”的多局域世界网络模型，并采用Python编程的仿真分析方法，主要结论包括：（1）数字型创业企业所处的全局网络中，节点间边权的分布呈现“厚尾”的幂律分布特征，说明少数数字型创业企业具备极强的网络控制力，因而占据巨大多数资源，而大多数数字型创业企业具有较弱的网络控制能力，仅占有极少数资源；（2）其他条件不变，以技术为代表的适应性能力或以数据资源为代表的吸引力的提升，能够帮助数字型创业企业获得较强的网络影响力。相比适应性能力而言，具有较高吸引力的数字型创业企业在网络中的影响力更强；（3）对于整个复杂网络而言，数字型创业企业的适应性能力或吸引力提高的同时，网络中其他行为主体的网络影响力均能够得到增强。除此之外，数字型创业企业的适应性能力或吸引力的提升，使得网络中不同主体间的信息扩散效率得到提升，主体间的公平性也会有所提升。

Abstract:

In the era of digital economy, digital entrepreneurial companies that use data technology and data resources as their main means of production have become one of the important forces driving the rapid economic development. Based on the theory of complex networks and combining the realistic characteristics of the growth of digital entrepreneurial enterprises, this paper proposes a "bilateral rule" multi-local world network model, and adopts the simulation analysis method of Python programming. The main conclusions of this paper include: (1) Digital startups in the global network where they are located, the distribution of edge weights among nodes presents a “thick-tail” power-law distribution, indicating that a small number of digital startups have strong network control and therefore occupy a huge majority of resources, while most digital startups have relatively weak network control capabilities and only occupy very few resources. (2) Other conditions remain unchanged, the adaptability represented by technology or the increase in attractiveness represented by data resources can help digital entrepreneurial companies gain Strong network influence. Compared with adaptability, digital entrepreneurs with higher attractiveness have stronger influence in the network. (3) For the whole complex network, the network influence of other actors in the network can be enhanced while the adaptability or attraction of digital startups is improved. In addition, the improvement of adaptability or attractiveness of digital startups will improve the efficiency of information diffusion among different subjects in the network, and the fairness among the subjects will also be improved.