@inproceedings{31ac8cd4d61a487bb8622a7c74c9ef36,
title = "Segmentation and automated social hierarchy detection through email network analysis",
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 = "Behavior profile, Corporate householding, Data mining, Enron, LinkMining, Social network",
author = "Germ{\'a}n Creamer and Ryan Rowe and Shlomo Hershkop and Stolfo, {Salvatore J.}",
year = "2009",
doi = "10.1007/978-3-642-00528-2_3",
language = "English",
isbn = "3642005276",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "40--58",
booktitle = "Advances in Web Mining and Web Usage Analysis - 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007 and 1st Int.Workshop on Social Networks Analysis, SNA-KDD 2007, Revised papers",
note = "9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007 and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007 ; Conference date: 12-08-2007 Through 15-08-2007",
}