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20202026
most citedOpinion Dynamics of Online Social Network Users: A Micro-Level Analysis

62 citations · 125 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.SI2026

Direct and Indirect Influence on Likes in Social Media

Ivan Kozitsin, Anton V. Proskurnikov

The present study investigates direct and indirect social contagion mechanisms in an online social network environment. Using a large-scale dataset comprising approximately 290,000…

cs.SI2022

A Nontrivial Interplay between Triadic Closure, Preferential, and Anti-Preferential Attachment: New Insights from Online Data

Ivan V. Kozitsin, Eduard R. Sayfulin, Vyacheslav L. Goiko

This paper presents an analysis of a temporal network that describes the social connections of a large-scale (~ 30,000) sample of online social network users, inhabitants of a fixe…

cs.SI2022

Modeling Opinion Dynamics: Ranking Algorithms on Heterogeneous Populations

Ivan V. Kozitsin

The heterogeneity of the influence processes is an important feature of social systems: how we perceive social influence and how we influence other individuals is heavily influence…

cs.SI2022

Aggression and "hate speech" in communication of media users: analysis of control capabilities

Varvara Kazhberova, Alexander Chkhartishvili, Dmitry Gubanov +5

Analyzing the possibilities of mutual influence of users in new media, the researchers found a high level of aggression and hate speech when discussing an urgent social problem - m…

cs.SI2021

Face mask perception during the COVID-19 pandemic: an observational study of Russian online social network VKontakte

Alexander G. Chkhartishvili, Dmitry A. Gubanov, Ivan V. Kozitsin

This cross-sectional study characterizes users' attitudes towards the face mask requirements introduced by the Russian government as a response to the COVID-19 pandemic. We study h…

cs.SI2020★ 62 cited

Opinion Dynamics of Online Social Network Users: A Micro-Level Analysis

Ivan V. Kozitsin

In this paper, we present an empirical study of the opinion dynamics of a large-scale sample of online social network users. We estimate opinions of users as continuous scalars bas…