Network Information Processing Analysis Based on Big Data Parallel Graph Partitioning Algorithm

This research proposes an efficient parallel graph partitioning algorithm for the big data environment, aiming to solve the bottlenecks of traditional clustering techniques in terms of processing speed and scalability. The algorithm adopts a multi-level graph partitioning framework, decomposing the...

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Vydané v:	Journal of computing and information technology Ročník 33; číslo 3; s. 139 - 155
Hlavní autori:	Guan, Keqing, Kong, Xianli
Médium:	Journal Article Paper
Jazyk:	English
Vydavateľské údaje:	Sveuciliste U Zagrebu 01.09.2025 Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva University of Zagreb Faculty of Electrical Engineering and Computing
Predmet:	Algorithms Big data Database design distributed, network split Electronic data processing Energy efficiency Methods network information processing parallel graph partitioning algorithm Social networks China
ISSN:	1330-1136, 1846-3908
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