The article presents an information system for data analysis of electronic operational documentation, the main purpose of which is the storage, collection and analysis of information, as well as the formation of an expert decision and forecasting to improve the quality of user work and the speed of processing large amounts of information. The functional structure of maintaining operational documentation was considered, a description of data flows and business processes was carried out, and the interaction of decision support systems with the subject area was studied.
The problems of modeling the structures of organizational systems by methods of network analysis are considered. Various aspects of the structure description based on the use of bipartite graphs and affiliation networks are considered. In order to identify communities in the structures, indicators and methods of clustering and modularity were used. To test the proposed approach, an organizational system for designing information systems was used. The results of the analysis of the proposed structures are presented.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.