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Inferring Company Structure from Limited Available Information

Mugurel Ionut Andreica(mugurelionut***at***gmail.com)
Romulus Andreica(academiacomerciala***at***yahoo.com)
Angela Andreica(academiacomerciala***at***yahoo.com)

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

Category 1: Other Topics (Dynamic Programming )

Category 2: Applications -- OR and Management Sciences (Finance and Economics )

Category 3: Other Topics (Other )

Citation: Proceedings of the International Symposium on Social Development and Economic Performance - Supplement of the magazine "Quality - Access to Success", vol. 89, pp. 412-416, Satu Mare, 20-21 June, 2008. (ISSN: 1582-2559)

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Entry Submitted: 09/19/2008
Entry Accepted: 09/29/2008
Entry Last Modified: 09/19/2008

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