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Networks of companies and branches in Poland

Author

Listed:
  • Anna M. Chmiel
  • Julian Sienkiewicz
  • Krzysztof Suchecki
  • Janusz A. Holyst

Abstract

In this study we consider relations between companies in Poland taking into account common branches they belong to. It is clear that companies belonging to the same branch compete for similar customers, so the market induces correlations between them. On the other hand two branches can be related by companies acting in both of them. To remove weak, accidental links we shall use a concept of threshold filtering for weighted networks where a link weight corresponds to a number of existing connections (common companies or branches) between a pair of nodes.

Suggested Citation

  • Anna M. Chmiel & Julian Sienkiewicz & Krzysztof Suchecki & Janusz A. Holyst, 2006. "Networks of companies and branches in Poland," Papers physics/0611147, arXiv.org.
    • Handle: RePEc:arx:papers:physics/0611147
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    References listed on IDEAS

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    1. D.Helbing & S.Lämmer & T.Brenner & U.Witt, 2004. "Network-Induced Oscillatory Behavior in Material Flow Networks and Business Cycles," Papers on Economics and Evolution 2004-08, Philipps University Marburg, Department of Geography.
    2. S. Battiston & M. Catanzaro, 2004. "Statistical properties of corporate board and director networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 345-352, March.
    3. Diego Garlaschelli & Guido Caldarelli & Luciano Pietronero, 2003. "Universal scaling relations in food webs," Nature, Nature, vol. 423(6936), pages 165-168, May.
    4. Aleksiejuk, Agata & Hołyst, Janusz A., 2001. "A simple model of bank bankruptcies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(1), pages 198-204.
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