Научная визуализация, 2025, том 17, номер 4, страницы 39 - 56, DOI: 10.26583/sv.17.4.05
Method of Identification of Implicit Relations in Solving Analytical Problems
Авторы: И.Д. Соколов1, К.В. Ионкина2, М.С. Улизко3, Е.В. Антонов4, Е. Н. Бажанова5, А.А. Артамонов6
Национальный Исследовательский Ядерный университет «МИФИ»
1 ORCID: 0009-0008-4467-1347, idsokolov@kaf65.ru
2 ORCID: 0000-0001-6850-2443, kionkina@ka65.ru
3 ORCID: 0000-0003-2608-8330, msulizko@kaf65.ru
4 ORCID: 0000-0003-1498-9131, eantonov@kaf65.ru
5 ORCID: 0000-0001-7714-0579, ebazhanova@kaf65.ru
6 ORCID: 0000-0002-9140-5526, AAArtamonov@mephi.ru
Аннотация
Visualization tools enable the transformation of large datasets into user-friendly graphical representations. This paper presents the development of a graph visualization tool designed to uncover implicit relationships among information entities. We describe a method for identifying such implicit relationships and introduce an interactive graph visualization system that allows users to explore the graph through filtering. The implemented functionality includes a specialized query language for dynamically modifying the appearance of nodes and edges.
The proposed method and the developed tool were evaluated on two real-world datasets: (1) detecting potential violations of nuclear non-proliferation commitments and (2) identifying promising areas for scientific collaboration among organizations. The results confirm the practical relevance of the proposed approach.
Ключевые слова: graph visualization, graph construction, heterogeneous data, heterogeneous data processing, ReactJS.
