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Исследование и реализация алгоритмов поиска "Ñ‡ÐµÑ€Ð½Ñ‹Ñ Ð´Ñ‹Ñ€" в Ð³Ñ€Ð°Ñ„Ð°Ñ iBlackhole и gBlackhole

выпускная квалификационная работа магистра

Исследование и реализация алгоритмов поиска "Ñ‡ÐµÑ€Ð½Ñ‹Ñ Ð´Ñ‹Ñ€" в Ð³Ñ€Ð°Ñ„Ð°Ñ iBlackhole и gBlackhole

Abstract

В данной работе описана проблема нахождения «черных дыр» в графе. Представлен обзор существующих алгоритмов поиска «черных дыр». Разработан и реализован новый алгоритм Findhole. Проведено исследование времени работы алгоритма по сравнению с уже существующими алгоритмами. Экспериментально подтверждена сильная зависимость времени работы алгоритма от структуры графа.

This paper describes the problem of detection "black holes" in a graph. An overview of existing algorithms for searching for "black holes" is presented. A new Findhole algorithm has been developed and implemented. The study of the running time of the algorithm is carried out in comparison with the already existing algorithms. The strong relation of the running time of the algorithm is experimentally confirmed on the structure of the graph.

Keywords

"Черные дыры", Графов теория, Алгоритмы

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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