Segmentation and Automated Social Hierarchy Detection Through Email Network Analysis

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

19 Pages Posted: 27 Mar 2012  

Germán G. Creamer

Stevens Institute of Technology - Wesley J. Howe School of Technology Management

Ryan Rowe

Independent

shlomo hershkop

Columbia University - Department of Computer Science

Salvatore Stolfo

Columbia University - Computer Science Department

Date Written: March 25, 2012

Abstract

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.

Keywords: Social Network, Enron, Behavior Profile, Link Mining, Data Mining, Corporate Householding

JEL Classification: C45, C63

Suggested Citation

Creamer, Germán G. and Rowe, Ryan and hershkop, shlomo and Stolfo, Salvatore, Segmentation and Automated Social Hierarchy Detection Through Email Network Analysis (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. Available at SSRN: https://ssrn.com/abstract=2028719

Germán G. Creamer (Contact Author)

Stevens Institute of Technology - Wesley J. Howe School of Technology Management ( email )

1 Castle Point on Hudson
Hoboken, NJ 07030
United States
2012168986 (Phone)

HOME PAGE: http://www.creamer-co.com

Ryan Rowe

Independent

No Address Available

Shlomo Hershkop

Columbia University - Department of Computer Science ( email )

New York, NY 10027
United States

Salvatore Stolfo

Columbia University - Computer Science Department ( email )

500 W 120 St
New York, NY NY 10027
United States
646-775-6043 (Phone)

HOME PAGE: http://www.cs.columbia.edu/~sal

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