DocumentCode :
3425118
Title :
Towards discovering organizational structure from email corpus
Author :
Zhou, Ding ; Song, Yang ; Zha, Hongyuan ; Zhang, Ya
Author_Institution :
Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
fYear :
2005
fDate :
15-17 Dec. 2005
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.
Keywords :
data mining; electronic mail; graph theory; organisational aspects; personnel; social sciences computing; Enron email corpus; email communication history; heuristic metrics; leadership discovery; leadership graph mining; organizational structure; pair-wise leadership factor; Computer network management; Computer science; Data mining; Electronic mail; History; Network topology; Psychology; Social network services; Sociology; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Applications, 2005. Proceedings. Fourth International Conference on
Print_ISBN :
0-7695-2495-8
Type :
conf
DOI :
10.1109/ICMLA.2005.66
Filename :
1607463
Link To Document :
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