Complex networks and economics
AbstractAs the first step toward a study of complex networks in economics, we consider business networks categorized into bipartite networks. Through empirical study we show the possibility that business networks will fall into the scale-free category. To have an idea about the clustering coefficient and the averaged path length for bipartite networks, we perform a one-mode reduction. We calculate the quantities for networks constructed by banks and companies before/after a merger among banks, and quantitatively show that the merger among banks increases the cliquishness of companies and decreases the typical separation between two companies.
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Bibliographic InfoArticle provided by Elsevier in its journal Physica A: Statistical Mechanics and its Applications.
Volume (Year): 324 (2003)
Issue (Month): 1 ()
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Web page: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/
Business networks; Scale-free networks; Merger among banks;
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- Daniel O. Cajueiro & Benjamin M. Tabak, 2007.
"The role of banks in the Brazilian Interbank Market: Does bank type matter?,"
Working Papers Series
130, Central Bank of Brazil, Research Department.
- Cajueiro, Daniel O. & Tabak, Benjamin M., 2008. "The role of banks in the Brazilian interbank market: Does bank type matter?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(27), pages 6825-6836.
- Miśkiewicz, Janusz, 2013. "Power law classification scheme of time series correlations. On the example of G20 group," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2150-2162.
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