Web-based graphical user interface for visualizing and analyzing chemical reaction networks

Abstract

A graphical user interface for network visualization and analysis is proposed, integrated within the Catalyst Acquisition by Data Science (CADS) platform to simplify the study of chemical reaction networks. The interface enables users to upload CSV data and perform centrality calculations, clustering, shortest path searches, and more, without requiring programming skills. It offers intuitive features such as node highlighting, navigation, and visualization in force-directed or circular layouts. Additionally, networks can be represented as Petri nets or directed graphs, providing deeper insights into reaction dynamics. This platform aims to make network theory more accessible and accelerate its application in chemical research.