Virus on a Network

Материал из Поле цифровой дидактики
Версия от 17:54, 6 марта 2024; MariaMyshkina (обсуждение | вклад) (Новая страница: «{{Model |Description=WHAT IS IT? This model demonstrates the spread of a virus through a network. Although the model is somewhat abstract, one interpretation is that each node represents a computer, and we are modeling the progress of a computer virus (or worm) through this network. Each node may be in one of three states: susceptible, infected, or resistant. In the academic literature such a model is sometimes referred to as an SIR model for epidemics. |We...»)
(разн.) ← Предыдущая | Текущая версия (разн.) | Следующая → (разн.)
Описание модели WHAT IS IT?

This model demonstrates the spread of a virus through a network. Although the model is somewhat abstract, one interpretation is that each node represents a computer, and we are modeling the progress of a computer virus (or worm) through this network. Each node may be in one of three states: susceptible, infected, or resistant. In the academic literature such a model is sometimes referred to as an SIR model for epidemics.

Область знаний
Веб-страница - ссылка на модель https://netlogoweb.org/launch#https://netlogoweb.org/assets/modelslib/Sample%20Models/Networks/Virus%20on%20a%20Network.nlogo
Видео запись
Разработчики
Среды и средства, в которых реализована модель
Диаграмма модели
Описание полей данных, которые модель порождает
Модель создана студентами? {{{Student-created}}}«{{{Student-created}}}» — не булево значение (да/нет).
ODD protocol DREAM О чём эта модель? Как устроена модель (правила внутри) Как пользоваться моделью На что следует обратить внимание Что стоит попробовать Расширение возможностей модели Функции среды программирования, которые использованы в этой модели Похожие модели

WHAT IS IT? This model demonstrates the spread of a virus through a network. Although the model is somewhat abstract, one interpretation is that each node represents a computer, and we are modeling the progress of a computer virus (or worm) through this network. Each node may be in one of three states: susceptible, infected, or resistant. In the academic literature such a model is sometimes referred to as an SIR model for epidemics.