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Importance sorting method of organizational enities based on trace clustering
XU Tao, MENG Ye
Journal of Computer Applications    2016, 36 (5): 1284-1289.   DOI: 10.11772/j.issn.1001-9081.2016.05.1284
Abstract477)      PDF (901KB)(394)       Save
Aiming at the issue that the social network analysis method like hand-over network cannot express the importance of organizational entities precisely, a method to sort the quantified importance of organizational entities organized under the trace clusters was proposed. Firstly, a relation network was constructed to describe the relationship between trace clusters and organizational entities; secondly, a quantitative assessment of the nodes' importance of this network was defined; finally, all these nodes were sorted respectively according to their quantified importance. The experimental results show that this relation network can express the actual importance of organizational entities more precisely than the hand-over network generated by trace clustering. Compared to the importance sorting algorithm of network community nodes based on topological potential, the proposed method is more suitable for the actual business processes, meanwhile it can distinguish distinct organizational entities better than the importance-sorting algorithm based on topological potential.
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