network analysis | Academic Journals and Conferences

Analysis of the Nigerian stock market before and after the currency note changes using social network analysis

This paper examines the dependency of stocks in the Nigerian stock market from 2022 to 2023, focusing on the impact of currency note changes in government policy. The study employs the forest of all minimum-spanning trees derived from the correlation matrix of the top 40 stocks across various sectors and four traditional centrality measures to identify the most influential stocks within the network. The network analysis results reveal that the sectors dominating the market before the policy change differed from those dominating after the policy change. Additionally,

Automatization of functions determination and productivity of terms in terminology systems

The essence of the problem is the complexity of the analysis of large-scale terminology systems containing hundreds or thousands of terms. To solve this problem it is suggested to use the method of network analysis proposed by E. F. Skorohodko. The method involves the representation of the terminology system in the form of a matrix and the separation of the initial, derivative and final terms, as well as the definition of their productivity.