基于社会嵌入理论,引入强关系与弱关系社会网络特性变量,揭示其对创业融资绩效的影响.借助数据挖掘技术生成1 517个创业项目信息及其创业者个人信息的截面数据库,研究发现:创业者强关系社会网络成员创业经验、教育水平,可通过影响创业者弱关系社会网络成员创业经验、教育水平,间接地影响创业者创业项目绩效水平;同时,创业者自身的创业经验、教育水平能够降低创业者对于外部社会网络关系的依赖,从而对上述创业者强、弱关系社会网络成员创业经验、教育水平产生影响,并对创业者创业项目的影响起到调节作用.%Based on the theory of social embedding, this study analyses the relationship between the strong and weak ties to explain the conflict between the reality and the theory of the social network embeddedness, and reveals its impact on entrepreneurial financing performance. Data mining technology is employed to generate a cross-section database of 1, 517 entrepreneurial projects information and personal information of entrepreneurs. This study finds out that entrepreneurial performance is indirectly influenced by entrepreneurial experience and education level of social network strong-tie members through those of social network weak-tie members. And the entrepreneurs' education level can reduce their dependence on the relationship between external social networks, so that it plays a moderating role in the relationship between entrepreneurial experience and education level of social network strong-tie and weak-tie members which we have described, and then entrepreneurial performance.
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