Towards Discovering Organizational Structure from Email Corpus

Authors:
Ding Zhou;Yang Song;Hongyuan Zha;Ya Zhang
Affiliations:
The Pennsylvania State University;The Pennsylvania State University;The Pennsylvania State University;The Pennsylvania State University
Venue:
ICMLA '05 Proceedings of the Fourth International Conference on Machine Learning and Applications
Year:
2005

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Abstract

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.