Virus on a Network: различия между версиями
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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. | 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. | ||
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Версия 21:13, 9 марта 2024
| 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. |
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| 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
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.
Описание переменных модели
Переменные, задающие начальные условия
Переменные, задающие характеристики элементов модели
Характеристики, описывающие состояние сети
В процессе проведения экспериментов элементы модели относятся к одному из 3 типов - вовлеченные (infected), готовые к восприятию (susceptible), резистентные (resistant). Так как число элементов модели зафиксировано начальными условиями, сумма этих групп будет равна заданному на старте количеству элементов (Number-of-nodes).
Схема взаимосвязи переменных в модели
