@inproceedings{9197a6b4946344ee8a288edd0356d51c,
title = "Automated social hierarchy detection through email network analysis",
abstract = "This paper provides a novel algorithm for automatically extracting social hierarchy data from electronic communication behavior. The algorithm is based on data mining user behaviors to automatically analyze and catalog patterns of communications between entities in a email collection to extract social standing. The advantage to such automatic methods is that they extract relevancy between hierarchy levels and are dynamic 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, Data, Enron, Link mining, Mining, Social network",
author = "Ryan Rowe and German Creamer and Shlomo Hershkop and Stolfo, {Salvatore J.}",
year = "2007",
doi = "10.1145/1348549.1348562",
language = "English",
isbn = "9781595938480",
series = "Joint Ninth WebKDD and First SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis",
pages = "109--117",
booktitle = "Joint Ninth WebKDD and First SNA-KDD Worshop 2007 on Web Mining and Social Network Analysis",
note = "Joint 9th WebKDD and 1st SNA-KDD Workshop 2007 on Web Mining and Social Network Analysis. Held in conjunction with 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2007 ; Conference date: 12-08-2007 Through 15-08-2007",
}