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2009 | OriginalPaper | Buchkapitel

Segmentation and Automated Social Hierarchy Detection through Email Network Analysis

verfasst von : Germán Creamer, Ryan Rowe, Shlomo Hershkop, Salvatore J. Stolfo

Erschienen in: Advances in Web Mining and Web Usage Analysis

Verlag: Springer Berlin Heidelberg

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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.

Metadaten
Titel
Segmentation and Automated Social Hierarchy Detection through Email Network Analysis
verfasst von
Germán Creamer
Ryan Rowe
Shlomo Hershkop
Salvatore J. Stolfo
Copyright-Jahr
2009
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-00528-2_3

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