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EN
The article looks at the relation of the clustering coefficient and degree in the network of interlocking directorates. The study covered 479 enterprises which degree is over 1 out of 902 companies listed on the main market at the Warsaw Stock Exchange and on the NewConnect at the end of 2014. The relation of the clustering coefficient and degree was assessed using the one-way analysis of variance (ANOVA) and a comparison of two network clustering coefficients, (1) in the sense of Watts-Strogatz (CCWS) and in the sense of transitivity (C). The analysis led to the conclusion that a company with a high clustering coefficient has low degree in the board network on the Polish capital market.
EN
In the paper the measures of the social network analysis were discussed in terms of their relevance to describe an interlocking directorates’ strategy with the suggestion of closeness and eigenvalue as best suited. The statistical analyses were presented. The analysis of the aforementioned measures’ statistical properties and their links with board size and degree revealed that it is hard to optimize them simultaneously by simply increasing a value of degree. As closeness is rather linearly linked to degree, insomuch as increasing eigenvalue, as latter requires the analysis of the network structure in order to optimize benefits to costs ratio.
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