Big data analysis technology for organizational relationships detection: capabilities of the iFORA SYSTEM
The purpose of this article is to demonstrate approaches to analyzing connections between centers of competence using the iFORA system of intellectual analysis of large text-document data, illustrated by mapping the field of "Industrial Information Management and Telecommunication Systems". The results of the study include testing the approaches and methods implemented in the iFORA system on tasks traditionally addressed within the framework of organizational network analysis. The main result of the analysis is a network graph of connections between potential centers of competence in the field of "Industrial Information Management and Telecommunication Systems", identified from scientific publications using semantic analysis tools, reflecting the connections between these centers. The graph is further given an interpretation by generating hypotheses about existing collaborations based on these connections. The article also provides suggestions for directions to utilize the research of centers of competence connections based on semantic analysis of large textual data arrays.
Authors
- Ирина Логинова (ORCID: https://orcid.org/0000-0002-3376-2728)
- Anna Piekalnits (ORCID: https://orcid.org/0000-0003-0585-5350)
- F. M. Grozovskiy
Institutions
- National Research University Higher School of Economics (RU)
Publication Details
- Journal
- Sociology methodology methods mathematical modeling (Sociology 4M)
- Published
- 2025-08-20
- DOI
- https://doi.org/10.19181/4m.2025.34.1.2
- Primary Topic
- Complex Network Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research University Higher School of Economics