Segmentation and Automated Social Hierarchy Detection Through Email Network Analysis
Germán G. Creamer
Stevens Institute of Technology - Wesley J. Howe School of Technology Management
Columbia University - Department of Computer Science
Columbia University - Computer Science Department
March 25, 2012
ADVANCES IN WEB MINING AND WEB USAGE ANALYSIS - 9th WEBKDD and 1st SNA-KDD WORKSHOP at KDD 2007, Zhang et al. eds., Lecture Notes in Computer Science, Springer-Verlag, 2009
We present our work on automatically extracting social hierarchies from electronic communication data. Data mining based on user behavior can be leveraged to analyze and catalog patterns of communications between entities to rank relationships. The advantage is that the analysis can be done in an automatic fashion and can adopt itself to organizational changes over time. We illustrate the algorithms over real world data using the Enron corporation’s email archive. The results show great promise when compared to the corporations work chart and judicial proceeding analyzing the major players.
Number of Pages in PDF File: 19
Keywords: Social Network, Enron, Behavior Profile, Link Mining, Data Mining, Corporate Householding
JEL Classification: C45, C63
Date posted: March 27, 2012
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