Author： Zhang C. Hurst W.B. Lenin R.B. Ramaswamy S.
Publisher： Inderscience Publishers
ISSN： 1476-1300
Source： International Journal of Internet and Enterprise Management, Vol.7, Iss.1, 2011-02, pp. : 104-127
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Abstract
Fast communication technologies coupled with low-cost storage have aided enormous electronic data gathering. Hence, the need to transform such data to business intelligence and value is strong. In this paper, we focus on analysing e-mail corpuses (Enron) informational exchanges, with the intent to discern hidden organisational structure and cultures. We show that this provides deep insight about employee roles, and organisational structure that is of immense intrinsic value. We predict unknown employee statuses, and identify homogeneous groups and hierarchies amongst them. As a part of this work, we have developed a web-based Graphical User Interface (GUI) for feature extraction and composition.
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