Research on the Measurement and Characteristics of Virtual Agglomeration Based on Social Network Analysis: Evidence from 29 Manufacturing Industries in China

(1) Background: Virtual agglomeration reshapes the organizational form and drives the sustainable development of the manufacturing industry. How to measure the virtual agglomeration level of the manufacturing industry is an important and difficult problem for current research. (2) Methods: In this study, we constructed a social network for the virtual agglomeration of the manufacturing industry, with each industry representing a node in the network. We also measured the virtual agglomeration level of the overall manufacturing industry using the network edge number and network density indicators in the social network analysis method. Each sub-industry virtual agglomeration level was measured using the point centrality index. Furthermore, the virtual agglomeration characteristics of the manufacturing industry were examined through cluster analysis and core-periphery analysis. The data sources include the supply chain statistics and virtual agglomeration text data of manufacturing enterprises. The virtual agglomeration text data were obtained with the help of Python crawler technology. Two types of data were matched, and the virtual agglomeration data of 29 manufacturing industries in China from 2012 to 2022 was obtained. (3) Results: The virtual agglomeration level of the overall manufacturing industry is constantly improving, but there are large differences among different industries. Moreover, the virtual agglomeration of the manufacturing industry has the characteristics of both specialization and diversification. The virtual agglomeration social network of the manufacturing industry is experiencing an evolution process from a "core-periphery" structure to a "core-semi-periphery-periphery" structure. (4) Conclusions: This study provides a theoretical basis and practical reference for improving the virtual agglomeration level of the manufacturing industry.