ANR-Lab team at NET-2024

On May 20-21, XIV International Conference on Network Analysis took place. The conference is organized by the Laboratory of Algorithms and Technologies for Analysis of Network Structures (HSE Nizhny Novgorod). At the conference, reports were presented on the analysis of complex networks, optimization methods, machine learning, as well as the practical application of network methodology in the analysis of social processes.

At the session dedicated to the analysis of social networks, members of the International Laboratory for Applied Network Research presented their work:

• Daria Maltseva, "Collaboration structures in Russian sociological community."
  The paper presented the methodological part of the work on the project “Collaboration Patterns of Russian Sociologists”, supported by a grant from the Russian Science Foundation in 2021-2023. – the process of working with Russian-language data from the electronic library eLibrary, designed in the computer program “Bib-elib” for collecting, preprocessing and analyzing bibliometric data from this library.
• Irina Pavlova, "Exploring International Dimension of Russian Economic Science."
  The work is devoted to the analysis of collaborations of Russian economists. The study included networks of co-authorship and co-presence of keywords on materials from the Web of Science database for 1991-2022. The report showed how cooperation between Russian scientists and organizations is structured both at the national level and in the international context.
• Natalia Matveeva, "How to analyze the structure of collaboration? The example of leading young universities".
  Natalia spoke about the structure of interaction between leading young universities, their similarities and differences in their patterns of cooperation.
• Anna Semenova, "Network Analysis of International Conflicts."
  The study is devoted to modeling the network of interstate conflicts that occurred after the Second World War. New centrality measures were calculated on the resulting network, taking into account group interactions and vertex parameters.
• Anna Kartasheva, "The Normative Dimension of Networks and Bias Resilience."
  Anna spoke about a proposed study to measure bias in network research. Bias, the observation of results that are systematically biased and distorted by faulty assumptions, can be addressed in several ways, including considering the epistemological and temporal aspects of bias in relation to the concept of bias resilience.

The Laboratory of Algorithms and Technologies for Analysis of Network Structures are long-time friends of our laboratory. In this laboratory, models and methods for analyzing various types of network structures are successfully developed and optimized, which later find application in various practical problems, including social processes. We are glad to further cooperation!