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Inferring Organizational Titles in Online Communication

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Statistical Network Analysis: Models, Issues, and New Directions (ICML 2006)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 4503))

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Abstract

There is increasing interest in the storage, retrieval, and analysis of email communications. One active area of research focuses on the inference of properties of the underlying social network giving rise to the email communications[1,2]. Email communication between individuals implies some type of relationship, whether it is formal, such as a manager-employee relationship, or informal, such as friendship relationships. Understanding the nature of these observed relationships can be problematic given there is a shared context among the individuals that isn’t necessarily communicated. This provides a challenge for analysts that wish to explore and understand email archives for legal or historical research.

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References

  1. Diehl, C., Getoor, L., Namata, G.: Name reference resolution in organizational email archives. In: 6th SIAM Conference on Data Mining (2006)

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  2. Corrada-Emmanuel, A., McCallum, A., Wang, X.: Topic and role discovery in social networks. In: IJCAI (2005)

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Edoardo Airoldi David M. Blei Stephen E. Fienberg Anna Goldenberg Eric P. Xing Alice X. Zheng

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© 2007 Springer-Verlag Berlin Heidelberg

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Namata, G.M.S., Getoor, L., Diehl, C.P. (2007). Inferring Organizational Titles in Online Communication. In: Airoldi, E., Blei, D.M., Fienberg, S.E., Goldenberg, A., Xing, E.P., Zheng, A.X. (eds) Statistical Network Analysis: Models, Issues, and New Directions. ICML 2006. Lecture Notes in Computer Science, vol 4503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73133-7_15

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  • DOI: https://doi.org/10.1007/978-3-540-73133-7_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73132-0

  • Online ISBN: 978-3-540-73133-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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