Inferring Company Structure from Limited Available Information

Mugurel Ionut Andreica (1) , Angela Andreica (2) , Romulus Andreica (2)

1 Parallel and Distributed Systems Laboratory [Bucarest]
2 Management and Finances Center

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.

Mots clés: inferring company structure; pairs of employees; hierarchical structure; dynamic programming

Domaines: Algorithme et structure de données [cs.DS]; Economies et finances

Mugurel Ionut Andreica, Angela Andreica, Romulus Andreica. Inferring Company Structure from Limited Available Information. International Symposium on Social Development and Economic Performance, Jun 2008, Satu Mare, Romania. pp.412-416. ⟨hal-00323317v2⟩