Publication: Method of Identification of Implicit Relations in Solving Analytical Problems
Файлы
Дата
2025
Авторы
Соколов, И. Д.
Ионкина, К. В.
Улизко, М. С.
Антонов, Е. В.
Бажанова, Е. Н.
Артамонов, А. А.
Journal Title
Научная визуализация
Journal ISSN
Volume Title
Научная визуализация
Издатель
НИЯУ МИФИ
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.
Описание
Ключевые слова
ReactJS , Heterogeneous data processing , Heterogeneous data , Graph construction , Graph visualization
Цитирование
И.Д. Соколов, К.В. Ионкина, М.С. Улизко, Е.В. Антонов, Е. Н. Бажанова, А.А. Артамонов. Method of Identification of Implicit Relations in Solving Analytical Problems (2025). Научная визуализация 17.4: 39 - 56, DOI: 10.26583/sv.17.4.05