59108

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Formal models of opinion formation and their application to real data: evidence from online social networks

Электронная публикация: 

Да

ISBN/ISSN: 

1545-5874

DOI: 

10.1080/0022250X.2020.1835894

Наименование источника: 

  • Journal of Mathematical Sociology

Город: 

  • United Kingdom

Издательство: 

  • Taylor and Francis Ltd

Год издания: 

2020

Страницы: 

https://doi.org/10.1080/0022250X.2020.1835894
Аннотация
In this paper, we analyze data on the opinion dynamics of 1,660,927 users of an online social network using formal models of opinion formation. We have observed that moderate users have a tendency to follow the average opinion of their online friends, which we interpret as a presence of bounded confidence. Further, we have discovered that the probability of moving toward the average opinion goes down if the difference between it and the user’s opinion is too large. Another interesting feature uncovered is that if a user’s opinion and the average opinion of their online friends are very similar, the influence also decreases.

Библиографическая ссылка: 

Козицин И.В. Formal models of opinion formation and their application to real data: evidence from online social networks // Journal of Mathematical Sociology. 2020. С. https://doi.org/10.1080/0022250X.2020.1835894.