71592

Автор(ы): 
Маркович Н. М. (ИПУ РАН, Лаборатория 38)
Автор(ов): 

1

Параметры публикации
Тип публикации: 
Тезисы доклада
Название: 
Extremal properties of evolving networks
Наименование конференции: 
The 3rd International Workshop on Stochastic Modeling and Applied Research of Technology (SMARTY 2022)
Наименование источника: 
Proceedings of the 3rd International Workshop on Stochastic Modeling and Applied Research of Technology (SMARTY 2022)
Город: 
Петрозаводск
Издательство: 
Карельское отделение РАН
Год издания: 
2022
Страницы: 
1-5 http://smarty22.karelia.website/pdf/section2/01.pdf
Аннотация
Real-world networks display a strong heterogeneity that is reflected in a heavy-tailed distribution of node influence indices. The in-degree, the PageRank (PR) and the Max-Linear Model (MLM) may be used as node influence indices of random graphs. The indices are regularly varying heavy-tailed distributed random variables (r.v.s) . We predict the tail index (TI) and extremal index (EI) of the PRs and MLMs of newly appended nodes in evolved random networks.
Библиографическая ссылка: 
Маркович Н.М. Extremal properties of evolving networks / Proceedings of the 3rd International Workshop on Stochastic Modeling and Applied Research of Technology (SMARTY 2022). Петрозаводск: Карельское отделение РАН, 2022. С. 1-5 http://smarty22.karelia.website/pdf/section2/01.pdf.