Archive | 2021

Оценка сетевого взаимодействия участников кластера «Ульяновск-Авиа»

 
 

Abstract


The article addresses the problem of identification and analysis of clusters chosen for state support programs. The goal of the paper is to test the possibilities of social network analysis method as a tool to identify and evaluate the activity of clusters supported by the state. To solve this issue, the authors have chosen an aircraft cluster of the Ulyanovsk region — the Consortium «Scientific, educational and production cluster» Ulyanovsk-Avia. The cluster was analyzed using social network analysis based on information collected in the SPARK database. The authors build cluster networks, perform homogeneity calculations, and identify the central nodes. The results obtained allows us to conclude that Ulyanovsk-Avia demonstrates active ties between its companies. However, this interaction cannot be unambiguously classified as a cluster one.

Volume 1
Pages 224-246
DOI 10.38050/013001052021210
Language English
Journal None

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