Impact of Social Network on Technological Innovation of Industrial Cluster Based on Clustering Algorithm

Abstract

This paper takes the technological innovation activities of industrial clusters as the research object, and studies the influence of social network on technological innovation of industrial clusters based on clustering algorithm. In this paper, we use the method of industrial economics to explore the essential resources and the internal mechanism of industrial clusters which are conducive to technological innovation. First of all, this paper studies the innovation advantages of social network on industrial clusters, and points out that industrial clusters under social network are more conducive to enterprises to obtain the tacit knowledge, capital, flowing talents and other essential resources needed for innovation. This method can make enterprises grasp the trend of technological innovation more accurately through social network. At the same time, this paper points out that the cluster network relationship provides a flow channel for the rational allocation of these elements in space. On this basis, this paper discusses the internal mechanism of industrial clusters to promote innovation, and points out how industrial clusters influence the acquisition, sharing and re creation of innovation elements through their own social network relationship. According to the characteristics of informal network, this paper puts forward the way to realize cluster innovation mechanism. The research results of this paper provide some useful reference for how to improve the level of independent innovation through social network.