Complex network analysis: различия между версиями

Материал из Поле цифровой дидактики
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|similar_concepts=SNA
|similar_concepts=SNA
|Environment=Semantic MediaWiki
|Environment=Semantic MediaWiki, R, J, Python, Snap!, VOSviewer, Biblioshiny, graphviz
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Версия 20:32, 12 июня 2024


Описание Complex network analysis refers to the study of large networks that possess properties which could not be found otherwise in simple graphs. They generally represent bigger systems, like the networks of all web pages on the WWW. It has emerged as a new field comprising basics of graph theory, community detection and machine learning. These networks can be studied in static or dynamic arrangement, depending on the nature of the problem and the data available. Complex networks are of two basic types that are scale-free networks and random or small-world network. Scale-free networks are more loosely connected, having long tails and fewer paths between pairs of nodes.
Область знаний NetSci, Биология
Авторы
Поясняющее видео https://www.youtube.com/watch?v=xcf31aJ7mJU
Близкие понятия SNA
Среды и средства для освоения понятия Semantic MediaWiki, R, J, Python, Snap!, VOSviewer, Biblioshiny, graphviz