Segmentation and automated social hierarchy detection through email network analysis

Germán Creamer, Ryan Rowe, Shlomo Hershkop, Salvatore J. Stolfo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

31 Scopus citations

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.

Original languageEnglish
Title of host publicationAdvances 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
Pages40-58
Number of pages19
DOIs
StatePublished - 2009
Event9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007 and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007 - San Jose, CA, United States
Duration: 12 Aug 200715 Aug 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5439 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007 and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007
Country/TerritoryUnited States
CitySan Jose, CA
Period12/08/0715/08/07

Keywords

  • Behavior profile
  • Corporate householding
  • Data mining
  • Enron
  • LinkMining
  • Social network

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