Social network analysis has developed for a long time; it is used to assess the performance of scholars, quantifying scholar’s publication. Collaborations among scholars with different skills and backgrounds are shown on co-authors paper published. The argument is that the co-authorship network is compatible with social-linkage, and the hidden power embedded in the co-authorship network. We collected co-authorship data from 85 journal papers in the field of industrial and management science (IMS) with a time span of twenty years (1997-2016). A bibliometric network is constructed and UCINET 6 applied to calculate three centrality measures (out-degree, in-degree, and betweenness) for individual authors in this network. The results confirm our argument and the mechanism of discussion.