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Главный редактор
НИКИФОРОВ
Владимир Олегович
д.т.н., профессор
Партнеры
doi: 10.17586/2226-1494-2016-16-6-967-995
УДК 004.9+004.21
СУПЕРКОМПЬЮТЕРНОЕ МОДЕЛИРОВАНИЕ КРИТИЧЕСКИХ ЯВЛЕНИЙ В СЛОЖНЫХ СОЦИАЛЬНЫХ СИСТЕМАХ
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Язык статьи - русский
Ссылка для цитирования: Слоот П.М.А., Холист Я., Кампис Дж., Лис М.Х., Митягин С.А., Иванов С.В., Боченина К.О., Гулева В.Ю., Мухина К.Д., Насонов Д.А., Бутаков Н.А., Леоненко В.А., Ланцева А.А., Бухановский А.В. Суперкомпьютерное моделирование критических явлений в сложных социальных системах // Научно-технический вестник информационных технологий, механики и оптики. 2016. Т. 16. № 6. С. 967–995. doi: 10.17586/2226-1494-2016-16-6-967-995
Аннотация
Ссылка для цитирования: Слоот П.М.А., Холист Я., Кампис Дж., Лис М.Х., Митягин С.А., Иванов С.В., Боченина К.О., Гулева В.Ю., Мухина К.Д., Насонов Д.А., Бутаков Н.А., Леоненко В.А., Ланцева А.А., Бухановский А.В. Суперкомпьютерное моделирование критических явлений в сложных социальных системах // Научно-технический вестник информационных технологий, механики и оптики. 2016. Т. 16. № 6. С. 967–995. doi: 10.17586/2226-1494-2016-16-6-967-995
Аннотация
В статье рассмотрена проблема компьютерного моделирования критических явлений в сложных социальных системах на основе формализма комплексных сетей с использованием вычислительных систем петафлопсного диапазона производительности. Предложена система вложенных моделей комплексной сети на трех уровнях, включающая агрегированную аналитическую модель для идентификации критических состояний, детализированную модель динамики сети на индивидуальном уровне, а также модель, уточняющую особенности топологической структуры комплексной сети. Разработан масштабируемый параллельный алгоритм, в совокупности покрывающий все уровни моделирования комплексных сетей, и исследована его производительность на различных суперкомпьютерных системах. Обсуждены вопросы программно-информационной инфраструктуры моделирования комплексных сетей, включая организацию распределенных вычислений, сбор данных в социальных сетях, а также визуализацию результатов. Рассмотрены приложения разработанных методов и технологий в части моделирования распада криминальных сетей, быстрого распространения слухов в социальных сетях Интернет, эволюции финансовых сетей и распространения эпидемий.
Ключевые слова: критические явления, комплексные сети, суперкомпьютерное моделирование, динамические процессы, параллельный алгоритм, распространение эпидемий, криминальные сети, финансовые сети
Благодарности. Работа выполнена при поддержке проекта Российского научного фонда, соглашение № 14-21-00137.
Список литературы
Благодарности. Работа выполнена при поддержке проекта Российского научного фонда, соглашение № 14-21-00137.
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