A distributed and incremental algorithm for large-scale graph clustering

Graph clustering is one of the key techniques to understand structures that are presented in networks. In addition to clusters, bridges and outliers detection is also a critical task as it plays an important role in the analysis of networks. Recently, several graph clustering methods are developed a...

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Vydané v:	Future generation computer systems Ročník 134; s. 334 - 347
Hlavní autori:	Inoubli, Wissem, Aridhi, Sabeur, Mezni, Haithem, Maddouri, Mondher, Mephu Nguifo, Engelbert
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.09.2022 Elsevier
Predmet:	Artificial Intelligence Big graph analysis Bioinformatics Community detection Computer Science Distributed, Parallel, and Cluster Computing Graph processing Hubs detection Machine Learning Outliers detection Structural graph clustering Community detection Big graph analysis Structural graph clustering Graph processing Hubs detection Outliers detection
ISSN:	0167-739X, 1872-7115
On-line prístup:	Získať plný text
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