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International Conference on Computational Collective Intelligence

ICCCI 2016: Computational Collective Intelligence pp 580–589Cite as

Latent Email Communication Patterns

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9875))

Abstract

The paper introduces a framework to analyze company internal email communication. In some cases, users tend to use email for various purposes where other tools would be more appropriate. Such behavior patterns cause high workload to other users who have to keep doing the same. A sample from Enron email corpus is used to discover such latent patterns using Latent Class Analysis method and strategies how to improve communication are proposed.

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Acknowledgments

The support of the FIM UHK Project “Solution of production, transportation and allocation problems in agent-based models” and Czech Science Foundation GAČR 15-11724S DEPIES is gratefully acknowledged.

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Authors and Affiliations

  1. Faculty of Informatics and Management, University of Hradec Králové, Rokitanského 62, 500 03, Hradec Králové, Czech Republic

    Miloš Vacek

Authors
  1. Miloš Vacek
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Corresponding author

Correspondence to Miloš Vacek .

Editor information

Editors and Affiliations

  1. Wrocław University of Technology, Wrocław, Poland

    Ngoc-Thanh Nguyen

  2. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Lazaros Iliadis

  3. Department of Forestry and Management, Democritus University of Thrace, Orestiada, Thrace, Greece

    Yannis Manolopoulos

  4. Wrocław University of Technology, Wrocław, Poland

    Bogdan Trawiński

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© 2016 Springer International Publishing Switzerland

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Vacek, M. (2016). Latent Email Communication Patterns. In: Nguyen, NT., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9875. Springer, Cham. https://doi.org/10.1007/978-3-319-45243-2_53

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  • DOI: https://doi.org/10.1007/978-3-319-45243-2_53

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45242-5

  • Online ISBN: 978-3-319-45243-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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