Lecture "Analysis of Scientific Literature: Practices and Tools of Bibliometric Network Research" as part of the inter-campus initiative "From Search to Analysis: A Complete Guide to Working with Scientific Literature"
On October 30 at 2:00 PM, the fifth and final seminar in the "From Search to Analysis: A Complete Guide to Working with Scientific Literature" series will take place. Daria Maltseva, head of the Applied Network Research Laboratory, will discuss the practice and tools of bibliometric network analysis for the quantitative study of scientific literature — a modern approach to preparing literature reviews and analyzing scientific activity.
After delving into the search and selection of scientific literature in previous seminars*, participants in the fifth meeting of the series will learn about bibliometric network analysis methods, which allow us to build connections between scientific papers, authors, journals, organizations, and keywords. These networks make it possible to study citations, co-authorship, and collaboration in science, track the development of scientific disciplines, identify current trends, and construct thematic maps of various fields of knowledge.
Moving from theory to specific tools and case studies, we will examine:
- Where to begin: We will discuss a step-by-step plan for conducting a bibliometric network study.
- What to use: We will review popular software tools for constructing and visualizing networks (VOSviewer, Biblioshiny, Pajek).
- How to read science maps: We will learn to interpret the results based on real-world cases – finding key articles, authors, thematic clusters, and identifying hidden connections between them.
We welcome everyone who is ready to join us on this journey — from literature search to in-depth analysis.
Lecture language: Russian
Registration is required to participate.
The project "From Search to Analysis: A Complete Guide to Working with Scientific Literature" is being implemented by a team led by Anna Semenova, Junior Research Fellow at the International Center for Decision Analysis and Choice. The project team includes Irina Pavlova and Natalia Matveeva, staff members of the International Laboratory of Decision Analysis, and Daria Maltseva, who serves as an expert.
* Recordings of previous seminars are available at this link. The second phase of the initiative will take place in November, with a series of offline seminars for interested audiences who want to learn advanced methods of literature analysis and bibliometric analysis of individual scientific units and areas. Stay tuned for announcements!