Key Borrowers Detected By The Intensities Of Their Short-range Interactions
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Cited by:
- F. Aleskerov & N. Meshcheryakova & S. Shvydun, 2016. "Centrality measures in networks based on nodes attributes, long-range interactions and group influence," Papers 1610.05892, arXiv.org.
- Aleskerov, F. & Badgaeva, D. & Pislyakov, V. & Sterligov, I. & Shvydun, S., 2016. "An Importance of Russian and International Economic Journals: a Network Approach," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 193-205.
- Рубинштейн Александр Яковлевич, "undated". "Ранжирование Российских Экономических Журналов: Научный Метод Или «Игра В Цыфирь»? [Ran Ranking of Russian Economic Journals: The Scientific Method or “Numbers Game”?]," Working papers a:pru175:ye:2016:1, Institute of Economics.
- Fuad Aleskerov & Irina Gavrilenkova & Sergey Shvydun & Vyacheslav Yakuba, 2020. "Power Distribution in the Networks of Terrorist Groups: 2001–2018," Group Decision and Negotiation, Springer, vol. 29(3), pages 399-424, June.
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More about this item
Keywords
Power index; key borrower; systemic importance; interconnectedness; centrality;All these keywords.
JEL classification:
- C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
- G2 - Financial Economics - - Financial Institutions and Services
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BAN-2014-09-08 (Banking)
- NEP-GTH-2014-09-08 (Game Theory)
- NEP-HME-2014-09-08 (Heterodox Microeconomics)
- NEP-RMG-2014-09-08 (Risk Management)
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