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.