[关键词]
[摘要]
厘清众包竞赛中用户之间的竞争关系,有利于了解用户的组织和创新方式,提高众包竞赛的创新效率。以社会网络与随机统计理论为基础,将竞争网络演化驱动因素归纳网络结构属性、节点属性及网络关系属性三个维度,基于猪八戒网相关数据构建用户竞争网络,分析用户竞争网络演化特征,并采用指数随机图模型探究众包竞赛用户竞争网络演化的驱动机制。研究表明:竞争网络呈现“高密度,短路径”的特点,小世界特性显著,且竞争网络结构趋于稳定;竞争网络倾向于形成星型结构与闭合三角结构;众包竞赛用户的成交额、竞争强度及结构洞属性有助于网络形成与演化;用户之间的技术结构邻近性与组织邻近性在竞争网络关系形成中发挥显著作用,而经济距离负向影响竞争网络的形成。
[Key word]
[Abstract]
Exploring the competitive relationship among the participators of crowdsourcing contests is conducive to understand the organization and innovation mode of crowdsourcing participators and improve the innovation efficiency of crowdsourcing contests. On the basis of the social network and random statistical theory, the influencing factors of network evolution are divided into three dimensions: attributes of network structure, attributes of network node and attributes of relationships. The competition network is constructed based on the data of zhubajie.com, a typical crowdsourcing platform. The evolution characteristics of participators competition network are analyzed, and the driving mechanism of network evolution is explored by using exponential random graph model (ERGM). The results show that the competition network presents the characteristics of "high density, short path", the characteristics of small world are obvious, and the structure of competitive network tends to be stable; The participators' transaction amount, competitive intensity and structural hole attribute contribute to the formation and evolution of network; Knowledge proximity and organizational proximity play a significant role in the formation of competition networks, while economic distance negatively affects the formation of competition networks.
[中图分类号]
F204;F270
[基金项目]
国家社科基金重点项目“众创空间培育机制及发展策略研究”(18AGL006);湖北省教育厅人文社会科学重点研究项目“学科交叉主题的可视化识别:以统计学学科为例”(17D009)