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Towards Discovering Organizational Structure from Email Corpus

Ding Zhou, Yang Song, Ya Zhang, and Hongyuan Zha


Email logs people’s communication history which provides valuable information regarding the infrastructure of an organization. In this paper, a two-phase framework is introduced to attack the problem of leadership discovery in an organization based on email communication history among the employees. Two heuristic metrics are proposed for evaluating pair-wise leadership factors among a group of employees. We also address several issues in discovering the organization’s structure through mining leadership graph constructed from the leadership factors. Experimental studies are carried out by applying the framework to Enron email corpus.


Publication typeInproceedings
Published inthe 4th IEEE International Conference on Machine Learning and Applications, Los Angeles , CA, U.S.A. 2005 (ICMLA 2005).
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