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Inferring Company Structure from Limited Available Information

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  • Mugurel Ionut Andreica

    ()
    (Parallel and Distributed Systems Laboratory [Bucarest] - University Politehnica of Bucarest)

  • Angela Andreica

    ()
    (Management and Finances Center - Commercial Academy Satu Mare)

  • Romulus Andreica

    ()
    (Management and Finances Center - Commercial Academy Satu Mare)

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    Abstract

    In this paper we present several algorithmic techniques for inferring the structure of a company when only a limited amount of information is available. We consider problems with two types of inputs: the number of pairs of employees with a given property and restricted information about the hierarchical structure of the company. We provide dynamic programming and greedy algorithms for these problems.

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    File URL: http://hal.archives-ouvertes.fr/docs/00/76/86/93/PDF/_satumare2008_Inferring_Company_Structure.pdf
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    Bibliographic Info

    Paper provided by HAL in its series Post-Print with number hal-00323317.

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    Date of creation: 10 Sep 2008
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    Publication status: Published - Presented, International Symposium on Social Development and Economic Performance, 2008, Satu Mare, Romania
    Handle: RePEc:hal:journl:hal-00323317

    Note: View the original document on HAL open archive server: http://hal.archives-ouvertes.fr/hal-00323317
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    Related research

    Keywords: inferring company structure; pairs of employees; hierarchical structure; dynamic programming;

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    1. S. Illeris & G. Akehurst, 2002. "Introduction," The Service Industries Journal, Taylor & Francis Journals, vol. 22(1), pages 1-3, January.
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