The invention provides a method for predicating performance of a technological enterprise through a CIO/CTO social network. The method mainly comprises the following steps of (1), acquiring data, acquiring Standard & Poor's data, BoardEx data, etc; (2), performing original data preprocessing, namely processing the acquired enterprise data; (3), executing a weighted central algorithm, namely presenting a weighted centrality algorithm in consideration of common influence of multiple centralities, and replacing a single centrality by the weighted centrality; (4), executing a CIO/CTO value evaluating method, evaluating the CIO/CTO value by means of the centrality, and analyzing network centrality of the CIO/CTO; (5), performing algorithm parallelization, and improving data processing efficiency by means of parallel operation capability of a Spark cluster; and (6), performing data analysis, and evaluating the performance of the enterprise through weighted centrality value estimation by means of Probit regression analysis and an OLS model. According to the method of the invention, performance of the enterprise is predicated by means of the weighted centrality, thereby settling a problem of insufficient research to the complicated social network on the condition that only a single measurement standard is considered.