Inferring Company Structure from Limited Available Information

Mugurel Ionut Andreica (), Angela Andreica () and Romulus Andreica ()
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Mugurel Ionut Andreica: Parallel and Distributed Systems Laboratory [Bucarest] - UPB - Polytechnic University of Bucharest [Romania] = Université Politehnica de Bucarest [Roumanie] = Universitatea Națională de Știință și Tehnologie Politehnica București [România]
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.

Keywords: inferring company structure; pairs of employees; hierarchical structure; dynamic programming (search for similar items in EconPapers)
Date: 2008-06-20
Note: View the original document on HAL open archive server: https://hal.science/hal-00323317v2
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Published in International Symposium on Social Development and Economic Performance, Jun 2008, Satu Mare, Romania. pp.412-416

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00323317

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