Modularity of networks and epidemics: new approaches to monitoring of infections in Russia, using the example of COVID-19

Authors

  • Boris Vladimirovich Pavlenko HSE University
  • Anastasia Anatolyevna Kasyanenko Moscow Pedagogical State University

Keywords:

COVID-19, disease spread, social network analysis, social capital, VK

Abstract

This study finds the negative relationship between modularity of online networks of social ties and spreading of COVID-19. The modularity index measures the tendency of nodes to be grouped into clusters with ties within clusters rather than between them.

About authors

Boris Vladimirovich Pavlenko

HSE University

The International Center for the Study of Institutions and Development
Doctoral Student
Research Assistant

Anastasia Anatolyevna Kasyanenko

Moscow Pedagogical State University

Bachelor of the “Applied Geoecology” Program

Информационное общество, 2026, выпуск 4

Published

31.08.2026

How to Cite

Pavlenko, B. V., & Касьяненко, А. А. (2026). Modularity of networks and epidemics: new approaches to monitoring of infections in Russia, using the example of COVID-19. Information Society, (4), 61-72. Retrieved from http://infosoc.iis.ru/article/view/1443

Issue

No. 4 (2026): Humans and algorithms: new rules of the digital world

Section

Digital healthcare

Copyright (c) 2026 Борис Владимирович Павленко, Анастасия Анатольевна Касьяненко

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.