Modeling Social Capital in Bureaucratic Hierarchy for Analyzing Promotion Decisions

摘要

We report research results in applying social network analysis to develop a data-driven computational approach for social scientists to perform investigative exploration on analyzing bureaucratic promotion. We consider social capital as primary determinants of promotion decisions in bureaucratic hierarchy and propose a hybrid multiplex social network model for representing relational and structural information among entities. The approach develops quantified assessment of social capital and provides objective evaluation of promotion decisions in anterior prediction. Experimental results with actual government officials' career data provide evidence to the effectiveness and the utility of social capital evaluation for bureaucratic promotion decisions.