With the support of ANR-Lab, the Autumn School 'From Data to Graphs: Workshop on Bibliometric Network Analysis' was held
From November 26-28, the ANR-Lab hosted the Autumn School 'From Data to Graphs: A Workshop on Bibliometric Network Analysis.'
At the Autumn School, participants learned about methods for constructing and interpreting bibliometric networks, gained insight into the capabilities of modern scientific databases and systems based on AI and natural language processing, and learned how to use bibliometric network analysis to support their own research projects.
ANR-Lab team members shared their expertise. Irina Pavlova, Deputy Head of the ANR-Lab, explained how to quickly prepare a literature review in their field using OpenAlex and VOSviewer. Natalia Matveeva, a research fellow at the laboratory, made a presentation 'Bibliometric Analysis in Assessing Scientific Activity: What Can We Learn and What Remains Hidden.' Daria Maltseva, Head of the ANR-Lab, conducted a workshop on bibliometric network analysis using Biblioshiny.
Anna Semenova from the International Centre of Decision Choice and Analysis demonstrated how to preprocess and perform initial analysis of Web of Science (WoS) bibliometric data using Pajek. Natalia Fedorova and Natalia Zharkova from the Academic Writing Center discussed the potential of AI tools for literature selection, reading large volumes of text, and preparing articles. Ivan Sterligov, an expert in scientometrics and scientific analytics, conducted a workshop on visualizing scientometric networks in Graphia. Daniil Tkachev from the International Centre of Decision Choice and Analysis presented a paper titled 'Centrality in Network Analysis: Theory and Application.' HSE students Daria Odoevskaya and Elizaveta Figlina discussed OpenAlex data parsing and processing.
The school is part of the project 'From Search to Analysis: A Complete Guide to Working with Scientific Literature,' which is being implemented by a team led by Anna Semenova, a junior research fellow at the International Center for Decision Analysis and Selection. The project team includes Irina Pavlova and Natalia Matveeva, both team members of the International Laboratory for Applied Network Research, and Daria Maltseva is an expert.
